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ISCApad Archive  »  2019  »  ISCApad #248  »  Jobs  »  (2018-11-15) Student intership, LIG Lab, Grenoble, France

ISCApad #248

Tuesday, February 12, 2019 by Chris Wellekens

6-36 (2018-11-15) Student intership, LIG Lab, Grenoble, France
  

Neural coreference resolution

Coreference resolution aims at detecting chains of coreference mentions in a text, that is mentions in the text that refer to the same entity.

While at first coreference resolution was split into two separated sub-problems, i.e. mention detections and resolution of coreferent mentions [1], thanks to the development of sophisticated neural models [2,3,4], end-to-end coreference resolution system can be based on a whole single model.
The aim of this stage is to study Sequence-to-Sequence [5] and Transformer [6] neural models for coreference resolution, integrating different types of attention mechanisms and possibly arbitrarily-long context [8], with the goal of understanding their impact in dealing with this complex NLP problem.

In this internship the student will implement parts of the systems for coreference resolution with Sequence-to-Sequence and Transformer neural models.
The student will run experiments on his own using GPUs, and the systems will be tested on the CoNLL Semeval 2012 benchmark [7].

Profile:
- Student for internship level stage (Master 2) in computer science, or from engineering school

- Computer science skills:
    Python programming with good knowledge of deep learning libraries (TensorFlow or PyTorch)
    Textual data manipulation (xml format, tabular format, CoNLL format)
- Interested in Natural Language Processing
- Skills in machine learning for probabilistic models

Context:

The internship may last from 4 up to 6 months, it will take place at LIG laboratory, GETALP team (http://lig-getalp.imag.fr/), starting from January/February 2019.
The student will be tutored by Marco Dinarelli (http://www.marcodinarelli.it) and Laurent Besacier (https://cv.archives-ouvertes.fr/laurent-besacier).
Interested candidates must send a CV and a motivation letter to marco.dinarelli@ens.fr and laurent.besacier@univ-grenoble-alpes.fr.

References:

[1]  Vincent Ng

    Supervised noun phrase coreference research: The first fifteen years.
    Proceedings of ACL, 2010

[2] Sam Wiseman, Alexander M. Rush, Stuart M. Shieber
    Learning Global Features for Coreference Resolution
    Proceedings of NAACL-HLT, 2016

[3] Kenton Leey, Luheng Hey, Mike Lewisz, and Luke Zettlemoyer
    End-to-end Neural Coreference Resolution
    Proceedings of EMNLP, 2017

[4] Kenton Lee Luheng He Luke Zettlemoyer
    Higher-order Coreference Resolution with Coarse-to-fine Inference
    Proceedings of NAACL, 2018

[5] Ilya Sutskever, Oriol Vinyals, Quoc V. Le
    Sequence to Sequence Learning with Neural Networks
    Proceedings of NIPS, 2014

[6] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin
    Attention Is All You Need
    Proceedings of NIPS, 2017

[7]  Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, Yuchen Zhang
     Conll-2012 shared task: Modeling multilingual unrestricted coreference in ontonotes
    Proceedings of EMNLP and  CoNLL-Shared Task, 2012

[8] Zhang, Jiacheng, et al. 'Improving the Transformer Translation Model with Document-Level Context.? EMNLP 2018.
 

------------------------
Laurent Besacier
Professeur à l'Univ. Grenoble Alpes (UGA)
Laboratoire d'Informatique de Grenoble (LIG)
Membre Junior de l'Institut Universitaire de France (IUF 2012-2017)
Responsable équipe GETALP du LIG
Directeur de l'école doctorale (ED) MSTII
-------------------------
!! Nouvelles coordonnées !!: LIG 
Laboratoire d'Informatique de Grenoble
Bâtiment IMAG
700 avenue Centrale
Domaine Universitaire - 38401 St Martin d'Hères
Pour tout contact concernant ED MSTII: passer par ed-mstii@univ-grenoble-alpes.fr
Nouveau tel: 0457421454

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