22^nd Rencontres Jeunes Chercheurs (RJC 2019 - ED 268)

?Variation in linguistics: approaches, data, uses?

6^th? 7^thJune 2019

University Sorbonne Nouvelle - Paris 3 (Maison de la Recherche) 

4, rue des Irlandais - 75005 PARIS

Dear Colleagues,

The «Langage et langues : description, théorisation, transmission» Doctoral School (ED 268, University Sorbonne Nouvelle) is glad to announce the Rencontres Jeunes Chercheurs (RJC 2019). The conference will be held from June 6^th- June 7^th 2019 in Paris.

These Rencontres offer junior researchers preparing a Master?s or a Doctorate degree, as well as post-doctorate students, the opportunity to present their work in individual paper or poster sessions.

This year?s theme tackles the issue of:

?Variation in linguistics: approaches, data, uses?

We encourage proposals concerned with this topic from any linguistic discipline. Everyone who is interested in presenting an individual paper or a poster is welcome to submit a 4000 characters abstract in English or French for double-blind review by January 21^st, 2019 at 7pm (Paris time UTC+1). Abstracts must be uploaded on the platform EasyChair at the following address: https://easychair.org/conferences/?conf=rjc2019

Individual papers will be allocated 20 minutes, and an additional 10 minutes for discussion.

The size of the posters is A0. Poster authors will be invited to give a short oral presentation of their work.

Agenda

Submission deadline: January 21^st, 2019

Notification of acceptance: March 2019

Conference dates: June 6^th ? 7^th, 2019

Conference location: Maison de la Recherche

Address: 4, rue des Irlandais - 75005 PARIS

Web site: http://www.univ-paris3.fr/rencontres-jeunes-chercheurs-301310.kjsp

Please find attached the call for papers and submission guidelines (in French and in English) for the Rencontres Jeunes Chercheurs. 

Please, circulate widely. Many thanks in advance.

Best regards,

---

The RJC Organizing Committee

rjc-ed268@univ-paris3.fr

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Journée d'étude

Méthodes pour la recherche autour de la communication multimodale 'artéfactée'

Mardi 11 décembre 2018

Laboratoire Parole et Langage, Aix-en-Provence

https://christellecombe.wixsite.com/comuart

Regards et pratiques à la croisée de disciplines et du monde industriel.?

L?usage de technologies de l?information et de la communication évolutives et interopérables transforment les pratiques de la vie quotidienne que nous soyons au travail, en formation, en mobilité, en activités récréatives ou en soins?Ces usages peuvent être imposés mais aussi spontanés, sous condition matérielle d?accès à ces technologies mais aussi d?un « savoir s?y prendre » n?allant pas nécessairement de soi.

Pour différentes disciplines, le développement et l?usage de plateformes interactives multimodales tout comme les expérimentations de robot de téléprésence, ou d?environnement virtuel multi-utilisateurs actionnant leurs avatars ou communiquant avec des agents virtuels représentent autant d?opportunités de recherches. Mais au-delà d' objets de recherche en émergence en sciences du langage, informatique,  sociologie ou didactique autour de ce qui peut être appelé la communication multimodale « artefactée », c?est la question de l?évolution et adaptation des méthodes qui est posée. Cette question est d?autant plus vive dans une visée de recherche interdisciplinaire et constitue le point d'orgue de cette journée d'étude.

Gratuite et ouverte à toutes et tous. Inscription obligatoire.

Contact : + 33(0)4 13 55 36 39

christelle.combe(at)univ-amu.fr

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5^th INTERNATIONAL WINTER SCHOOL ON BIG DATA
 
BigDat 2019
 
Cambridge, United Kingdom
 
January 7-11, 2019
 
Co-organized by:
 
Cambridge Big Data Initiative, University of Cambridge
 
Institute for Research Development, Training and Advice (IRDTA)
Brussels / London
 
http://bigdat2019.irdta.eu/
 
********************************************************
 
--- Early registration deadline: November 11, 2018 
********************************************************
 
SCOPE:
 
BigDat 2019 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.
 
Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures, 24 four-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.
 
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.
 
ADDRESSED TO:
 
Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2019 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.
 
STRUCTURE:
 
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
 
VENUE:
 
BigDat 2019 will take place in Cambridge, a city home of a world-renowned university. The venue will be:
 
University of Cambridge
Department of Engineering
Trumpington Street
Cambridge CB2 1PZ
 
KEYNOTE SPEAKERS:
 
tba
 
PROFESSORS AND COURSES:
 
Thomas Bäck (Leiden University), [introductory/intermediate], Data Driven Modeling and Optimization for Industrial Applications
 
Richard Bonneau (New York University), [introductory] Large Scale Machine Learning Methods for Integrating Protein Sequence and Structure to Predict Gene Function
 
Altan Cakir (Istanbul Technical University), [introductory/intermediate] Processing Big Data with Apache Spark: From Science to Industrial Applications
 
Jiannong Cao (Hong Kong Polytechnic University), [introductory/intermediate] Cross-domain Big Data Fusion and Analytics
 
Nitesh Chawla (University of Notre Dame), [intermediate/advanced] Network Science: Representation Learning and Higher Order Networks
 
Nello Cristianini (University of Bristol), [introductory] The Interface between Big Data and Society
 
Geoffrey C. Fox (Indiana University, Bloomington), [intermediate] High Performance Big Data Computing
 
David Gerbing (Portland State University), [introductory] Data Visualization with R
 
Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs
 
Geoff McLachlan (University of Queensland), [intermediate/advanced] Applying Finite Mixture Models to Big Data
 
Folker Meyer (Argonne National Laboratory), [intermediate] Skyport2: A Multi Cloud Framework for Executing Scientific Workflows
 
Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences
 
Soumya Mohanty (University of Texas Rio Grande Valley), [introductory/intermediate] Swarm Intelligence Methods for Statistical Regression
 
Sankar K. Pal (Indian Statistical Institute), [introductory/advanced] Machine Intelligence and Soft Granular Mining: Features, Applications and Challenges
 
Lior Rokach (Ben-Gurion University of the Negev), [introductory/advanced] Ensemble Learning
 
Michael Rosenblum (University of Potsdam), [introductory/intermediate] Synchronization Approach to Time Series Analysis
 
Hanan Samet (University of Maryland), [introductory/intermediate] Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial and Spatio-textual Databases, Geographic Information Systems (GIS), and Location-based Services
 
Rory Smith (Monash University), [intermediate/advanced] Statistical Inference: Optimal Methods for Learning from Signals in Noise
 
Jaideep Srivastava (University of Minnesota), [intermediate] Social Computing ? Concepts and Applications
 
Mayte Suárez-Fariñas (Icahn School of Medicine at Mount Sinai), [intermediate] A Practical Guide to the Analysis of Longitudinal Data Using R
 
Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning
 
Andrey Ustyuzhanin (National Research University Higher School of Economics), [intermediate/advanced] Surrogate Modelling for Fun and Profit
 
Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: Data Science in Action
 
Zhongfei Zhang (Binghamton University), [introductory/advanced] Relational and Multimedia Data Learning
 
OPEN SESSION
 
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david@irdta.eu by December 30, 2018.
 
INDUSTRIAL SESSION:
 
A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by December 30, 2018.
 
EMPLOYER SESSION:
 
Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. At least one of the people in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by December 30, 2018.
 
ORGANIZING COMMITTEE: (to be completed)
 
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
David Silva (London, co-chair)
Filippo Spiga (Cambridge, co-chair)
Richard E. Turner (Cambridge)
 
REGISTRATION:
 
It has to be done at
 
http://bigdat2019.irdta.eu/registration/
 
The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.
 
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event.
 
FEES:
 
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.
 
ACCOMMODATION:
 
Suggestions for accommodation are available on the event website.
 
CERTIFICATE:
 
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
 
QUESTIONS AND FURTHER INFORMATION:
 
david@irdta.eu
 
ACKNOWLEDGMENTS:
 
Cambridge Big Data Initiative, University of Cambridge

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CALL FOR PAPERS:

30th Conference on Electronic Speech Signal Processing (ESSV) 2019

Venue: TU Dresden, Germany

Web: www.essv.de/essv2019

ORGANIZERS:

Peter Birkholz, Simon Stone (TU Dresden, Germany)

CONFERENCE TOPICS:

* Speech recognition and natural language understanding
* Speech synthesis and natural language generation
* Measuring, processing, and modeling articulation
* Phonetic, syntactic, semantic, and pragmatic aspects in technical applications
* Multimodal dialog systems
* Models of speech acquisition
* Acoustic and visual pattern recognition
* Musical, biological, and technical signals ? applications and processing
* Applications in medical, healthcare, and rehabilitation technologies
* Cognitive and neural systems
* Speech technology in industrial and home environments

KEYNOTE SPEAKERS:

* Ercan Altinsoy
* Sidney Fels
* Christian Herbst
* Jose Gonzalez
* Korin Richmond

IMPORTANT DATES:

* Conference: March 6 - 8, 2019
* Submission deadline for extended abstract (1 page): November 30, 2018
* Notification of acceptance: until December 14, 2018
* Camera-ready paper submission deadline: January 25, 2019

CONFERENCE LANGUAGES:

German and English

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13th INTERNATIONAL CONFERENCE ON LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS
 
LATA 2019
 
Saint Petersburg, Russia
 
March 25-29, 2019
 
Organized by:
           
Saint Petersburg State University
and
Institute for Research Development, Training and Advice, Brussels/London
 
http://lata2019.irdta.eu/
*************************************************************************
 
AIMS:
 
LATA is a conference series on theoretical computer science and its applications. LATA 2019 will reserve significant room for young scholars at the beginning of their career. It will aim at attracting contributions from classical theory fields as well as application areas.
 
VENUE:
 
LATA 2019 will take place in Saint Petersburg, whose historic centre is a UNESCO World Heritage Site. The conference site shall be the historical Twelve Collegia building (https://en.wikipedia.org/wiki/Twelve_Collegia), built in ca. 1740,
which was used for the Russian government in the 18th century, and which
has been the main building of Saint Petersburg State University since 1835.
 
SCOPE:
 
Topics of either theoretical or applied interest include, but are not limited to:
 
algebraic language theory
algorithms for semi-structured data mining
algorithms on automata and words
automata and logic
automata for system analysis and programme verification
automata networks
automatic structures
codes
combinatorics on words
computational complexity
concurrency and Petri nets
data and image compression
descriptional complexity
foundations of finite state technology
foundations of XML
grammars (Chomsky hierarchy, contextual, unification, categorial, etc.)
grammatical inference and algorithmic learning
graphs and graph transformation
language varieties and semigroups
language-based cryptography
mathematical and logical foundations of programming methodologies
parallel and regulated rewriting
parsing
patterns
power series
string processing algorithms
symbolic dynamics
term rewriting
transducers
trees, tree languages and tree automata
weighted automata
 
STRUCTURE:
 
LATA 2019 will consist of:
 
invited talks
peer-reviewed contributions
 
INVITED SPEAKERS:
 
Henning Fernau (University of Trier), Modern Aspects of Complexity within Formal Languages
 
Pawe? Gawrychowski (University of Wroc?aw), tba
 
Edward A. Lee (University of California, Berkeley), Observation, Interaction, Determinism, and Free Will
 
Vadim Lozin (University of Warwick), From Words to Graphs, and Back
 
Esko Ukkonen (University of Helsinki), Pattern Discovery in Biological Sequences
 
PROGRAMME COMMITTEE:
 
Krishnendu Chatterjee (Institute of Science and Technology Austria, AT)
Bruno Courcelle (University of Bordeaux, FR)
Manfred Droste (University of Leipzig, DE)
Travis Gagie (Diego Portales University, CL)
Peter Habermehl (Paris Diderot University, FR)
Tero Harju (University of Turku, FI)
Markus Holzer (University of Giessen, DE)
Radu Iosif (Verimag, FR)
Kazuo Iwama (Kyoto University, JP)
Juhani Karhumäki (University of Turku, FI)
Lila Kari (University of Waterloo, CA)
Juha Kärkkäinen (University of Helsinki, FI)
Bakhadyr Khoussainov (University of Auckland, NZ)
Sergey Kitaev (University of Strathclyde, UK)
Shmuel Tomi Klein (Bar-Ilan University, IL)
Olga Kouchnarenko (University of Franche-Comté, FR)
Thierry Lecroq (University of Rouen, FR)
Markus Lohrey (University of Siegen, DE)
Sebastian Maneth (University of Bremen, DE)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Giancarlo Mauri (University of Milano-Bicocca, IT)
Filippo Mignosi (University of L'Aquila, IT)
Victor Mitrana (Polytechnic University of Madrid, ES)
Joachim Niehren (INRIA Lille, FR)
Alexander Okhotin (Saint Petersburg State University, RU)
Dominique Perrin (University of Paris-Est, FR)
Matteo Pradella (Polytechnic University of Milan, IT)
Jean-François Raskin (Université Libre de Bruxelles, BE)
Marco Roveri (Bruno Kessler Foundation, IT)
Karen Rudie (Queen's University, CA)
Wojciech Rytter (University of Warsaw, PL)
Kai Salomaa (Queen's University, CA)
Sven Schewe (University of Liverpool, UK)
Helmut Seidl (Technical University of Munich, DE)
Ayumi Shinohara (Tohoku University, JP)
Hans Ulrich Simon (Ruhr-University of Bochum, DE)
William F. Smyth (McMaster University, CA)
Frank Stephan (National University of Singapore, SG)
Martin Sulzmann (Karlsruhe University of Applied Sciences, DE)
Jorma Tarhio (Aalto University, FI)
Stefano Tonetta (Bruno Kessler Foundation, IT)
Rob van Glabbeek (Data61, CSIRO, AU)
Margus Veanes (Microsoft Research, US)
Mahesh Viswanathan (University of Illinois, Urbana-Champaign, US)
Mikhail Volkov (Ural Federal University, RU)
Fang Yu (National Chengchi University, TW)
Hans Zantema (Eindhoven University of Technology, NL)
 
ORGANIZING COMMITTEE:
 
Alexander Okhotin (Saint Petersburg, co-chair)
Manuel Parra-Royón (Granada)
Dana Shapira (Ariel)
David Silva (London, co-chair)
 
SUBMISSIONS:
 
Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). If necessary, exceptionally authors are allowed to provide missing proofs in a clearly marked appendix.
 
Submissions have to be uploaded to:
 
https://easychair.org/conferences/?conf=lata2019
 
PUBLICATIONS:
 
A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference.
 
A special issue of a major journal will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.
 
REGISTRATION:
 
The registration form can be found at:
 
http://lata2019.irdta.eu/Registration.php
 
DEADLINES (all at 23:59 CET):
 
Paper submission: November 18, 2018
Notification of paper acceptance or rejection: December 16, 2018
Final version of the paper for the LNCS proceedings: December 23, 2018
Early registration: December 23, 2018
Late registration: March 11, 2019
Submission to the journal special issue: June 29, 2019
 
QUESTIONS AND FURTHER INFORMATION:
 
david (at) irdta.eu

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The Second (2019) IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR'19)

http://www.ieee-mipr.org
San Jose, CA, USA
March 28-30, 2019

New forms of multimedia data (such as text, numbers, tags, networking, signals,
geo-tagged information, graphs/relationships, 3D/VR/AR and sensor data, etc.)
has emerged in many applications in addition to traditional multimedia data
(image, video, audio). Multimedia has become the biggest of big data as
the foundation of today's data-driven discoveries. Almost all disciplines of
science and engineering, as well as social sciences, involve multimedia data
in some forms, such as recording experiments, driverless cars, unmanned aerial
vehicles, smart communities, biomedical instruments, security surveillance.
Some recent events demonstrate the power of real-time broadcast of unfolding
events on social networks. Multimedia data is not just big in volume, but also
multi-modal and mostly unstructured. Storing, indexing, searching, integrating,
and recognizing from the vast amounts of data create unprecedented challenges.
Even though significant progress has been made processing multimedia data,
today's solutions are inadequate in handling data from millions of sources
simultaneously.

The IEEE International Conference on Multimedia Information
Processing and Retrieval (IEEE-MIPR) aims to provide a forum for original research
contributions and practical system design, implementation, and applications
of multimedia information processing and retrieval for single modality or
multiple modalities. The target audiences will be university researchers,
scientists, industry practitioners, software engineers, and graduate students
who need to become acquainted with technologies for big data analytics, machine
intelligence, information fusion in multimedia information processing and retrieval.
A collection of keynotes, open panels, and workshops will be held, together
with paper/poster sessions.

The conference will accept regular papers (6 pages), short papers (4 pages),
and demo papers (2 pages). Authors are encouraged to compare their approaches,
qualitatively or quantitatively, with existing work and explain the strength
and weakness of the new approaches. Selected submissions will be invited to submit
to journal special issues.

The conference includes (but not limited) the following topics of multimedia
data processing and retrieval.

Multimedia Retrieval
  * Multimedia Search and Recommendation
  * Web-Scale Retrieval
  * Relevance Feedback, Active/Transfer Learning
  * 3D and sensor data retrieval
  * Multimodal Media (images, videos, texts, graph/relationship) Retrieval
  * High-Level Semantic Multimedia Features

Machine Learning/Deep Learning/Data Mining
  * Deep Learning in Multimedia Data and / or Multimodal Fusion
  * Deep Cross-Learning for Novel Features and Feature Selection
  * High-Performance Deep Learning (Theories and Infrastructures)
  * Spatio-Temporal Data Mining

Content Understanding and Analytics
  * Multimodal/Multisensor Integration and Analysis
  * Effective and Scalable Solution for Big Data Integration
  * Affective and Perceptual Multimedia
  * Multimedia/Multimodal Interaction Interfaces with humans

Multimedia and Vision
  * Multimedia Telepresence and Virtual/Augmented/Mixed Reality
  * Visual Concept Detection
  * Object Detection and Tracking
  * 3D Modeling, Reconstruction, and Interactive Applications

Systems and Infrastructures
  * Multimedia Systems and Middleware
  * Telepresence and Virtual/Augmented/Mixed Reality
  * Software Infrastructure for Data Analytics
  * Distributed Multimedia Systems and Cloud Computing

Data Management
  * Multimedia Data Collections, Modeling, Indexing, or Storage
  * Data Integrity, Security, Protection, Privacy
  * Standards and Policies for Data Management

Novel Applications
  * Multimedia applications for health and sports
  * Multimedia applications for culture and education
  * Multimedia applications for fashion and living
  * Multimedia applications for security and safety
  * Any other novel applications

Internet of Multimedia Things
  * Real-Time Data Processing
  * Autonomous Systems such as Driverless Cars, Robots, and Drones
  * Mobile and Wearable Multimedia

Important Dates:
===============
  * Workshop proposals: September 15, 2018
  * Workshop notification: October 1, 2018
  * Paper submission: October 1, 2018
  * Notification of acceptance: November 20, 2018
  * Camera ready due: January 20, 2019 
  * Author registration due:  January 20, 2019


General Co-Chairs:
===============
Mohan Kankanhalli, National University of Singapore, Singapore
Rainer Lienhart, Universitat Augsburg, Germany
Chengcui Zhang, University of Alabama, USA


Program Co-Chairs:
===============
Min Chen, University of Washington, USA
Leonel Sousa, Universidade de Lisboa, Portugal
Guan-Ming Su, Dolby Labs, USA
Yonghong Tian, Beijing University, China

--

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Call for Papers

IWSDS 2019 Special Session -- Dialogue systems and lifelong learning
April 24-26, 2019
Siracusa, Sicily, Italy

* DSLL description

The topic of dialogue systems and chatbots has been gaining renewed interest in the recent years, particularly thanks to the recent development of deep neural networks. Nevertheless, most of the proposed approaches require a very large amounts of data, which is difficult to obtain when talking about dialogue. Proposing Methods that fill the data gap will allow data-driven dialogue systems trained in a specific domain and task to improve over time, and even learning in a cumulative way new domains or tasks is of great interest to fill the data gap. This direction of research is called lifelong learning or continuous learning. From another angle, another research paradigm that allows for continuous learning is to design systems are able to learn a new task or domain through interaction as a student with a teacher could do.

The main obective of this special session  is to gather researchers interested in dialogue systems that interact with the users in order to learn about new domains or acquire new knowledge.

We invite submissions on all aspects of dialogue systems, lifelong  and interactive learning.

Topics include but are not limited to:

- Dialogue systems that improve over time
- Intelligent systems that use interaction to gather new information
- Specific techniques that can enable learning through interaction, such as online reinforcement learning, imitation learning, etc.
- Corpora for interactive learning with dialogue
- Demonstration of systems that learn through interaction
- Evaluation methodologies

* Session Committe

Eneko Agirre, University of the Basque Country, Spain
Mark Cieliebak, Zurich University of Applied Sciences, Switzerland
Olivier Galibert, LNE, France
Sahar Ghannay, LIMSI, Univ. Paris Sud, France
Arantxa Otegi, University of the Basque Country, Spain
Anselmo Peñas, Universidad Nacional de Educación a Distancia, Spain
Camille Pradel, Synapse Développement
Sophie Rosset, LIMSI, CNRS, France
Anne Vilnat, LIMSI, Univ. Paris Sud, France

* Important dates

Submission paper: January 15
Author notification: January 25
Camera ready: February 15

For paper submission process, please check the IWSDS 2019 website <https://iwsds2019.unikore.it/> and the submission paper website <https://easychair.org/conferences/?conf=iwsds2019>

* Background

Artificial intelligence has made significant advances on solving prediction and dialogue tasks. But most of the approaches are based on off-line and supervised learning, where  algorithms take as input annotated data and build a model. Further work is necessary to build autonomous agents which are capable of learning from the environment and the interactions, without explicit supervision for each new task. The goal of Lifelong Learning (LL, also known as Learning to Learn) is to research methods for continuous learning of various tasks over time and learning commonalities among them (Chen and Liu, 2018). Current LL systems exploit similarities between the learned models for past tasks using task meta-features (Eaton and Ruvolo, 2013) and corresponding methods to learn representations of tasks, using for instance neural networks and ensembles of learners. Still, LL assumes that manual annotations exist for each item to be learned, while autonomous agents rarely have access to!
  such supervision. In a realistic scenario the agent receives feedback only after completing a complex task comprising of several decisions, and needs to guess which of the decisions were correct or incorrect.

Current interactions between humans and computers are limited to constrained dialogues, where dialogue systems (aka ChatBots or Conversational Agents?) are trained on a number of annotated sample dialogues of a narrow domain. The development cost is considerable, both in building the representation of the knowledge for the target domain and in the dialogue management proper, where one of the most important shortcomings is the variability of human language and the large amount of background knowledge that needs to be shared for effective dialogue. In addition, most of the learned knowledge needs to be learned nearly from scratch for each new dialogue task, including both the domain knowledge (learned using knowledge induction or knowledge bases) and the dialogue management module (adapted to the new domain). Interestingly, humans use dialogue to improve their own knowledge of a domain. That is, people interact with other people in order to confirm, retract or refine their u!
 nderstanding. This topic of learning through dialogue is an emerging one with more and more attempts to propose framework and tasks to evaluate such system. Most recent work in this area concern learning through conversation where the supervision part is given by the user feedback (Weston, 2016), the way the learning system can ask questions in an online reinforcement learning framework (Li et al., 2017) and also on how to learn and infer new knowledge during a dialogue (Mazumder et al., 2018 ; Letard et al., 2016).

This special session will focus on methods and evaluation methodologies for learning through dialogue. All aspects involved in dialogue (natural language understanding, dialogue management, natural language generation, knowledge management) are of interest.

This special session will provide a focal point for the growing research community on interactive learning with and by dialogue.

** References


Z. Chen, and B. Liu. Lifelong Machine Learning (2nd Edition). Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan and Claypool Publishers. August 2018, 207p

E. Eaton and P. L. Ruvolo. 2013. ELLA: An efficient lifelong learning algorithm. In ICML 2013.

Sahisnu Mazumder, Nianzu Ma, Bing Liu. Towards a Continuous Knowledge Learning Engine for Chatbots. arXiv:1802.06024 [cs.CL], 16 Feb. 2018.

Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston, Learning through Dialogue Interactions by Asking Questions, ICLR 2017.

Jason E. Weston. Dialog-based language learning. NIPS 2016.

Vincent Letard, Sophie Rosset, Gabriel Illouz. Incremental Learning From Scratch Using Analogical Reasoning. ICTAI 2016.

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CALL FOR PAPERS
IWSDS 2019: International Workshop on Spoken Dialogue 
Systems Technology
Place: Siracusa, Sicily, Italy
Main Conference Dates: April 24-26, 2019
Web site: https://iwsds2019.unikore.it/

https://easychair.org/cfp/IWSDS2019 

http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=80840&copyownerid=128361 

========================================

The  INTERNATIONAL WORKSHOP ON SPOKEN DIALOGUE SYSTEMS 
TECHNOLOGY (IWSDS) 2019 invites paper submissions in any 
topic related to the main conference theme 'Increasing 
naturalness and flexibility in spoken dialogue 
interaction:'

* Dialogue systems and reasoning
* Machine learning methods for spoken dialogue systems
* Multi-party and multi-lingual dialogue systems
* Open and multi domain systems
* Engagement and emotion in human-robot interactions
* Spoken dialog systems for low-resource languages
* Big data and large scale spoken dialogue systems
* Domain Transfer and adaptation techniques for spoken 
dialog systems
* Spoken dialogue systems applications
* Connecting spoken dialogue systems to global AI
* Personalized conversational agents
* Human-Robot dialogue systems
* Resources for creating dialogue systems
* Multimodal dialogue systems
* Reasoning and Q&A through dialogue interactions

However, submissions are not limited to these topics, and 
submission of papers in all areas of spoken dialogue 
systems is encouraged. We particularly welcome papers that 
can be illustrated by a demonstration, and will organize 
the conference in order to best accommodate these papers, 
whatever their category.

As usual, a selection of accepted papers will be published 
in a book by Springer following the conference (Springer 
LNEE series, SCOPUS and other important indexes).

Authors are requested to submit PDF files of their 
manuscripts using the paper submission system: 
https://easychair.org/conferences/?conf=iwsds2019

We distinguish between the following categories of 
submissions:

* Long Research Papers are reserved for reports on mature 
research results. The expected length of a long paper 
should be in the range of 8-12 pages, including 
references.
* Short Research Papers should be in the range of 4-6 
pages, including references. Authors may choose this 
category if they wish to report on smaller case studies or 
ongoing but interesting and original research efforts.
* Position Papers deal with novel research ideas or 
view-points which describe trends or fruitful starting 
points for future research and elicit discussion and are 
not much researched. They should be 2 pages long, 
excluding references.
* Demo Submissions - System Papers: Authors who wish to 
demonstrate their system may choose this category and 
provide a description of their system and demo. System 
papers should not exceed 6 pages in total.

IWSDS 2019 requires that all authors wishing to present a 
paper take into account:

* The paper is substantially original and will not be 
submitted to any other conference or journal during the 
IWSDS 2019 review period.
* The paper does not contain any plagiarism.
* The paper will be presented by one of the authors 
in-person at the conference site according to the schedule 
published. Any paper accepted in the technical program, 
but not presented on-site will be withdrawn from the 
official conference proceedings.

----------------------------------------------------
Important dates:

Paper submission deadline: December 10, 2018
Acceptance/rejection notification: January 25, 2019
Camera-ready paper due: February 15, 2019
Early bird registration deadline: February 26, 2019
Conference dates: April 24-26, 2019
----------------------------------------------------

Templates for formatting are available on the conference 
website: https://iwsds2019.unikore.it

* Latex Style and Template: 
https://iwsds2019.unikore.it/resources/svmult.zip
* Word Template: 
https://iwsds2019.unikore.it/resources/T1-book.zip
* Requirements for submitting figures that are acceptable: 
https://iwsds2019.unikore.it/resources/Art_Guidelines.pdf

For more information, you can visit the official website 
of the conference: https://iwsds2019.unikore.it/


General Chairs
   Sabato Marco Siniscalchi
   Haizhou Li (Curtesy Assistant)

Technical Program Chairs
    Sandro Cumani
    Valerio Mario Salerno

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ESANN 2019: European Symposium on Artificial Neural Networks,

Computational Intelligence and Machine Learning

Bruges, Belgium, 24-25-26 April 2019 

http://www.esann.org/

Call for papers

The call for papers is available at http://www.esann.org/.  The deadline for submitting papers is November 19, 2018.

The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered.  In addition to regular sessions, 7 special sessions will be organized on the following topics:

- Streaming data analysis, concept drift and analysis of dynamic data sets

- Embeddings and Representation Learning for Structured Data

- Parallel and Distributed Machine Learning: Theory and Applications

- Societal Issues in Machine Learning: When Learning from Data is Not Enough

- Reliable Machine Learning

- Statistical physics of learning and inference

- 60 Years of Weightless Neural Systems

ESANN 2019 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years.

The conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the 'Venice of the North', the city has preserved all the charms of the medieval heritage. Its center, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum.

We hope to receive your submission to ESANN 2019 and to see you in Bruges next year!

-----------------------------------------------------

If you do not wish to receive mailings about ESANN conferences, please fill the following form and send it to esann@uclouvain.be (do not reply to this e-mail!):

Name: ....................

First Name: ....................

E-mail address: ....................

Tick one of the following boxes:

O I do not wish to receive any mailing (both printed and e-mails) about the ESANN conference

O I do not wish to receive emails about the ESANN conference, but I accept to receive the printed versions of the call for papers and program (maximum 2 postal mails per year)

O I do not wish to receive postal mails about the ESANN conference, but I accept to receive e-mails (maximum 3 per year)

-----------------------------------------------------

========================================================

ESANN - European Symposium on Artificial Neural Networks,

Computational Intelligence and Machine Learning

http://www.esann.org/

* For submissions of papers, reviews, registrations:

Michel Verleysen

Univ. Cath. de Louvain - Machine Learning Group

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2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
12-17 May 2019 ? Brighton, UK
Special Session Proposal Deadline: 20 August 2018
Tutorial Proposal Deadline: 22 October 2018
Paper Submissions Deadline: 29 October 2018
Signal Processing Letters Deadline: 14 January 2019
Sponsored by IEEE SPS

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Appel Ateliers: JPC 2019

16 mai 2019

Université de Mons, Belgique

Objectifs

Afin d?encourager le dialogue et les rencontres entre cliniciens et chercheurs, le comité d?organisation des JPC 2019 lance un appel à l?organisation d?ateliers transversaux, ciblés sur une thématique particulière. Ces ateliers seront co-organisés par au moins un(e) clinicien(ne) et un(e) chercheur(se) sous une forme ouverte et participative, p.ex. table ronde, débat, tutoriel, session de démonstration, séminaires...

Quatre ateliers prendront place la matinée du jeudi 16 mai 2019 lors de la dernière journée des 8e Journées de Phonétique Clinique. Ils disposeront d?un créneau de 3 heures au maximum. L?organisation des ateliers sera confiée aux responsables des projets d?atelier acceptés. Ceux-ci seront chargés d?assurer la sollicitation des intervenants ou l?appel à communications, la définition du programme scientifique et la communication avec les participants à l?atelier. Ils devront s'assurer de l'inscription à l?atelier des participants, inscrits ou non-inscrits aux JPC. Les organisateurs des JPC prendront en charge la partie logistique des ateliers (gestion des salles, pauses café et diffusion des abstracts dans le livre des résumés de la conférence). Les invitations dans le cadre de ces ateliers ne seront pas prises en charge par l?organisation des JPC 2019.

Calendrier

?  Date des ateliers : jeudi 16 mai 2019

?  Date limite de soumission de la proposition : 18 janvier 2019

?  Réponse du comité d'organisation des JPC : 25 janvier 2019

Modalités de proposition

Les propositions d'ateliers (2 pages maximum) comprendront les éléments suivants :

?       Titre de l'atelier

?       Nom, prénom, affiliation, adresse électronique des responsables de l?atelier (au moins un(e) clinicien(ne) et un(e) chercheur(se))

?       Nom, prénom et coordonnées de la personne de contact pour la communication avec les organisateurs

?       Une description synthétique de la thématique de l'atelier

?       Le format envisagé (table ronde, débat, tutoriel, session de démonstration, séminaires, etc.)

?       Comité scientifique

?       Participants invités ou attendus (nombre, profil: enseignants, chercheurs, cliniciens, étudiants, etc.)

Les propositions seront envoyées en format pdf à l?adresse suivante: JPC2019@umons.ac.be  

Elles seront soumises à l?avis du comité de programme des JPC 2019.

Publication dans le livret des résumés

Le format souhaité suivra les recommandations des JPC 2019 (résumé de maximum 400 mots en français (hors titre, auteurs, et bibliographie)

Contact et informations

JPC2019@umons.ac.be  

www.langage.be/JPC/indexjpc.html 

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Call for papers: 14^th PAC conference

(Phonologie de l’Anglais Contemporain / Phonology of Contemporary English)

PAC AIX 2019

Phonetic and phonological variation in contemporary English:

Xperience-Xperimentation

Laboratoire Parole et Langage, Aix-en-Provence, France

June 4-5 2019

Guest Speakers : Dominic Watt (U. York)

&

Emmanuel Ferragne (U. Paris Diderot)

We are pleased to announce the 2019 edition of the annual PAC conference, ‘Phonetic and phonological variation in contemporary English: Xperience / Xperimentation’, due to take place from Tuesday June 4 to Wednesday June 5 2019 and, hosted by the Laboratoire Parole et Langage and Aix-Marseille University in Aix-en-Provence. We shall welcome as invited guest speakers Dominic Watt, from the University of York and Emmanuel Ferragne from  The Paris Diderot University of Paris Diderot. Both have worked on varieties of English and are currently working on forensic phonetics, among other topics.

The PAC programme (http://www.pacprogramme.net) gathers researchers interested in the study of variation in contemporary spoken English, adhering to a common protocol for data collection and annotation. The PAC conferences have been organized annually since 2000 and have been willing to welcome researchers studying spoken English worldwide and from a wide variety of backgrounds.

The 2019 edition of the conference will focus on « experience/experimentation », in French « l’expérience » (which is polysemic). People working in the framework of the PAC programme are used to following a field approach. The data collected within the framework of the PAC programme may easily be exploited by experimentalists as well. The idea is to open the conference to researchers working in a more experimental setting. We would like to make the link between the 2 two domains and our guest speakers will show that the two approaches may be complementary in the study of language. Papers concerned by either field work or experimental methods or combining the two domains are welcome. A wide range of issues can be explored, matching the research axes of the PAC programme, such as,  and among others, studies of English in urban contexts, analyses of prosodic variation, of L2 English or papers concerned with tools and annotation strategies..

The audience will consist of colleagues and students working on spoken English corpora and the presentations are all in English.

The deadline for sending a title with a one-page anonymous abstract (excluding references) is January 7, 2019.

Please visit the conference web site, where you can find a template for abstracts and upload your abstract submission: https://pacaix2019.sciencesconf.org/ (you will need to create a sciencesconf account if you don’t already have one).

Notification of acceptance will be sent by mid February 2019.

For any questions, you can contact us at the following address: pacaix2019@sciencesconf.org

Local Organising committee:

Julia Bongiorno

Stéphanie Desous

Sophie Herment

Joëlle Lavaud

Catherine Perrot

Claudia Pichon-Starke

Paul Sartre

Anne Tortel

Gabor Turcsan

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ACM SIGIR 2019

The 42nd International ACM SIGIR Conference on

Research and Development in Information Retrieval

July 21-25, 2019, Paris, France

CALL FOR PAPERS

Call for Full Papers

The annual SIGIR conference is the major international forum for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of information retrieval (IR). The 42nd ACM SIGIR conference, to be held in Paris, France, welcomes contributions related to any aspect of information retrieval and access, including theories, foundations, algorithms, applications, evaluation, and analysis. The conference and program chairs invite those working in areas related to IR to submit original papers for review.

Important Dates  (timezone: anywhere on earth)

Committees

Program chairs

• Yoelle Maarek, Amazon Research, Haifa, Israel
• Jian-Yun Nie, University of Montreal, Canada
• Falk Scholer, RMIT University, Melbourne, Australia

General chairs

• Max Chevalier, CNRS &  Université Paul Sabatier, Toulouse, France
• Eric Gaussier, CNRS & Université Joseph Fourier, Grenoble, France
• Benjamin Piwowarski, CNRS, LIP6, Sorbonne Université, Paris, France

Contact

All questions about full paper submissions should be emailed to sigir2019-pcchairs AT easychair DOT org.

follow us on twitter : @sigir2019

follow us on our web site : http://sigir.org/sigir2019/

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HISTORY: On July 20, 1969 at 20:17 UTC, Earth witnessed one of the most challenging technology accomplishments by mankind to date of NASA Apollo-11 with over 600M people witnessing both the landing and first steps on the moon by Neil Armstrong and Buzz Aldrin. Next July 2019 marks the 50^th Anniversary of the historical Apollo-11 lunar landing and first steps. https://en.wikipedia.org/wiki/Apollo_11

NSF CRSS-UTDallas Project: With support from the US National Science Foundation (NSF-CISE), CRSS-UTDallas has spent the last six years developing a hardware/software solution to digitize and recover all 30-track analog tapes from Apollo-11 (plus Apollo-13 and other missions), as well as development of speech diarization technologies to advance speech technology for such data. A total of 19,000 hours of data consisting of all NASA air-to-ground, mission control, and backroom support team discussions was released this year (news releases from this NSF sponsored project this year include: NSF, NASA, BBC, AIP (Acoustical Society of America), NPR, many on-line news sites, and involvement in a planned CNN documentary where this data is contributing, etc.). To date, this will be the largest publically available audio corpus of time synchronized, team based (~600 people) naturalistic communications to accomplish a real-world task.

ANNOUNCEMNT: This email is to announce the release of the FEARLESS STEPS CHALLENGE corpus, which is being shared for a proposed Special Session at ISCA INTERSPEECH-2019. The attached flyer details the 5 challenge tasks involved:

1. SAD: Speech Activity Detection

2. Speaker Diarization

3. SID: Speaker Identification

4. ASR: Automatic Speech Recognition

5. Sentiment Detection

This challenge corpus consists of 100hours from 5 of the 30-track channels spanning three phases of Apollo-11 mission: (i) lift off, (ii) landing, (iii) lunar walk. All data for this challenge will be available soon via a download option for all to participate (this site has sample audio from the NSF funded project: https://app.exploreapollo.org/ ). In addition, any lab/group wishing to have access to the entire 19,000 hours can do so without charge (this is public data, so it will be available via download, or a small fee for a hard-disk and shipping to your lab).   

While diarization efforts in the past have concentrated on single channel broadcast news, interviews, etc. These all represent typically a single speaker, or small group discussing topics of interest. The FEARLESS STEPS CORPUS is all time synchronized (with IRIG Time Channel) across 30 channels, with loops containing anywhere from 3-33 speakers working collaboratively to solve challenging problems. CRSS-UTDallas has produced full diarization output for the entire 19,000hrs of data (SAD, SID, DIAR/ASR) which is available with the corpus.

REQUEST:  We are proposing a Special Session at ISCA INTERSPEECH-2019. If you have interest in getting access to the FEARLESS STEPS CORPUS and potentially participating in the CHALLENGE, please reply to this email Hansen, John' <john.hansen@utdallas.edu>(an expression of interest does not obligate you to submit, we are simply trying to collect a list of interested researchers for the data). 

Many thanks for your interest!

CRSS-UTDallas Fearless Steps Team

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2019 Jelinek Summer Workshop on Speech and Language Technology

We are pleased to invite one page research proposals for a workshop on Machine Learning for Speech and Language Technology at ÉTS (École de Technologie Supérieure) in Montreal, CA June 24 to August 2, 2019 (Tentative)

CALL FOR PROPOSALS Deadline: Monday, November 5th, 2018.
 
One-page proposals are invited for the annual Frederick Jelinek Memorial Workshop in Speech and Language Technology. Proposals should aim to advance the state of the art in any of the various fields of Human Language Technology (HLT) or related areas of Machine Intelligence, including Computer Vision and Healthcare. Proposals may address emerging topics or long-standing problems. Areas of interest in 2019 include but are not limited to: * SPEECH TECHNOLOGY: Any aspect of information extraction from speech signals; techniques that generalize in spite of very limited amounts of training data and/or which are robust to input signal variations ; techniques for processing of speech in harsh environments, etc.
 * NATURAL LANGUAGE PROCESSING: Knowledge discovery from text; new approaches to traditional problems such as syntactic/semantic/pragmatic analysis, machine translation, cross - language information retrieval, summarization, etc.; domain adaptation; integrated language and social analysis; etc.
 * MULTIMODAL HLT: Joint models of text or speech with sensory data; grounded language learning; applications such as visual question - a nswering, video summarization, sign language technology, multimedia retrieval, analysis of printed or handwritten text. * DIALOG AND LANGUAGE UNDERSTANDING: U n d e r s t a n din g h u m a n - to - h u m a n o r h u m a n - to - computer conversation; dialog manag ement; naturalness of dialog (e.g. sentiment analysis).
 * LANGUAGE AND HEALTHCARE: information extraction from electronic health records; speech and language technology in health monitoring; healthcare delivery in hospitals or the home, public health, etc.
 These workshops are a continuation of the Johns Hopkins University CLSP summer workshop series, and will be hosted by various partner universities on a rotating basis. The research topics selected for investigation by teams in past workshops should serve as good examples for prospective proposers: http://www.clsp.jhu.edu/workshops/. An independent panel of experts will screen all received proposals for suitability. Results of this screening will be communicated by November 9th, 2018. Authors passing this initial screening will be invited to an interactive peer-review meeting in Baltimore on December 7-9th, 2018. Proposals will be revised at this meeting to address any outstanding concerns or new ideas. Two or three research topics and the teams to tackle them will be selected at this meeting for the 2019 workshop. We attempt to bring the best researchers to the workshop to collaboratively pursue research on the selected topics. Each topic brings together a diverse team of researchers and students. Authors of successful proposals typically lead these teams. Other senior participants come from academia, industry and government. Graduate student participants familiar with the field are selected in accordance with their demonstrated performance. Undergraduate participants, selected through a national search, are rising star seniors: new to the field and showing outstanding academic promise. If you are interested in participating in the 2019 Summer Workshop we ask that you submit a one-page research proposal for consideration, detailing the problem to be addressed. If a topic in your area of interest
is chosen as one of the topics to be pursued next summer, we expect you to be available to participate in the six - week workshop . We are not asking for an ironclad commitment at this juncture, just a good faith commitment that if a project in your area of interest is chosen, you will actively pursue it. We in turn will make a good faith effort to accommodate any personal/logistical needs to make your six-week participation possible.
 
Proposals must be submitted to jsalt2019-planning@jhu.edu by 23:59PM EDT on Monday, 11/05/2018. 

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Dialog System Technology Challenge 7 (DSTC7)
Call for Participation: Data distribution has been started
Website: http://workshop.colips.org/dstc7/index.html

========================================

Background
-----------------
The DSTC shared tasks have provided common testbeds for the dialog
research community since 2013.

From its sixth edition, it has been rebranded as 'Dialog System
Technology Challenge' to cover a wider variety of dialog related problems.

For this year's challenge, we opened the call for track proposals and
selected the following three parallel tracks by peer-reviews:

- Sentence Selection Track
- Sentence Generation Track
- Audio Visual Scene-aware dialog (AVSD) Track

Participation is welcomed from any research team (academic, corporate,
non-profit, government).

Important Dates
------------------------
- Jun 1, 2018: Training data is released
- Sep 10, 2018: Test data is released
- Sep 24, 2018: Entry submission deadline
- Oct or Nov 2018: Paper submission deadline
- Spring 2019: DSTC7 special session or workshop (venue: TBD)

DSTC7 Organizing Committee
--------------------------------------------
- Koichiro Yoshino - Nara Institute of Science and Technology (NAIST), Japan
- Chiori Hori - Mitsubishi Electric Research Laboratories (MERL), USA
- Julien Perez - Naver Labs Europe, France
- Luis Fernando D'Haro - Institute for Infocomm Research (I2R), Singapore

DSTC7 Track Organizers
-------------------------------------
Sentence Selection Track:
- Lazaros Polymenakos - IBM Research, USA
- Chulaka Gunasekara - IBM Research, USA
- Walter S. Lasecki - University of Michigan, USA
- Jonathan Kummerfeld - University of Michigan, USA

Sentence Generation Track:
- Michel Galley - Microsoft Research AI&R, USA
- Chris Brockett - Microsoft Research AI&R, USA
- Jianfeng Gao - Microsoft Research AI&R, USA
- Bill Dolan - Microsoft Research AI&R, USA

Audio Visual Scene-aware dialog (AVSD) Track:
- Chiori Hori - Mitsubishi Electric Research Laboratories (MERL), USA
- Tim K. Marks - Mitsubishi Electric Research Laboratories (MERL), USA
- Devi Parikh - Georgia Tech, USA
- Dhruv Batra - Georgia Tech, USA

DSTC Steering Committee
---------------------------------------
- Jason Williams - Microsoft Research (MSR), USA
- Rafael E. Banchs - Institute for Infocomm Research (I2R), Singapore
- Seokhwan Kim - Adobe Research, USA
- Matthew Henderson - PolyAI, Singapore
- Verena Rieser - Heriot-Watt University, UK

Contact Information
---------------------------------------
Join the DSTC mailing list to get the latest updates about DSTC7:

- To join the mailing list: send an email to
listserv@lists.research.microsoft.com and put 'subscribe DSTC' in the
body of the message (without the quotes).
- To post a message: send your message to dstc@lists.research.microsoft.com.

For specific enquiries about DSTC7:
- Please feel free to contact any of the Organizing Committee members
directly.

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Dear SProSIG Members,

We are pleased to announce that the 2020 Speech Prosody conference

will be held in Tokyo, tentatively in late May or early June.

Also, there are two upcoming special sessions relating to prosody, at

ICPhs 2019, with submission deadlines for both of December 4:

'Interacting Channels of Speech - Tune and Text'

https://timo-roettger.weebly.com/icphs---tune-and-text.html and

'Modeling Meaning-Bearing Configurations of Prosodic Features'

http://www.cs.utep.edu/nigel/pconstructions/icphs-configs.html .

We'd also like to take this opportunity to introduce ourselves, the

incoming officers of SProSig for 2018-2020: namely Martine Grice,

Plinio Barbosa, Hongwei Ding, Aoju Chen and myself.  We look forward

to serving the membership and are eager to hear your ideas and

suggestions.

Finally, the SProSIG mailing list is now hosted at the University of

Texas at El Paso. Subscription/unsubscription instructions are below.

Mailings will continue to be infrequent and focus on conference

announcements and the like. If you have such information to share,

please contact any of us.

Hongwei Ding, Aoju Chen, Martine Grice, Plinio Barbosa, Nigel Ward

Speech Prosody Special Interest Group  www.sprosig.org

This mail was sent through the SProSIG mailing list, which is for

announcements of interest to the speech prosody research community.

Subscribe/unsubscribe at http://listserv.utep.edu/mailman/listinfo/sprosig

Nigel Ward, Professor of Computer Science, University of Texas at El Paso

CCSB 3.0408,  +1-915-747-6827

nigel@utep.edu    http://www.cs.utep.edu/nigel/   

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