Computational Linguist

Groupe de lecture en linguistique informatique

  • Organisation : B. Crabbé
  • Contact : nom @ linguist.univ-paris-diderot.fr
  • Le groupe de travail se tiendra le jeudi de 16.30 à 17.30 en salle du conseil sauf mention contraire.
  • Première séance, le 23 janvier 2020

Programme prévisionnel

Date Salle Lecture Présentation
26/3 (16h-18h) 533 Cours Explanations R. Malouf
19/3 (16h-18h) 533 Cours Neural Nets R. Malouf
12/3 (16h-18h) 533 Cours Information theory and word structure R. Malouf
5/3 (16h-18h) 533 Cours Item and Pattern Morphology R. Malouf
27/2 533 Executable semantic parsing and question answering. Lecture: Cheng et al. 2019 Learning an Executable Neural Semantic Parser Computational Linguistics B. Crabbé
20/2 - Trève hivernale -
13/2 533 Learning word and context vector representations from tree structured data,lectures : Melamud et al. 2016, Learning Generic Context Embedding with Bidirectional LSTM », Tai et al. 2015. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks V. Segonne
6/2 533 Induire des cadres sémantiques, Lectures, Dmitry Ustalov, Alexander Panchenko, Andrey Kutuzov, Chris Biemann, Simone Paolo Ponzetto, Unsupervised Semantic Frame Induction using Triclustering, Nikolay Arefyev, Boris Sheludko, Adis Davletov, Dmitry Kharchev, Alex Nevidomsky, Alexander Panchenko Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction Ribeiro E. Teixeira A. S., Ribeiro R. and Martins de Matos D. Semantic Frame Induction as a Community Detection Problem", 2019, International Conference on Complex Networks and Their Applications M. Candito
30/1 533 Language Modeling in the Wild. Lectures, Edoardo M. Ponti et al. Towards Zero-shot Language Modeling (2019), P. Littel et al. URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors (2017), Cotterell et al. Are All Languages Equally Hard to Language-Model? (2018) G. Wisniewski
23/1 533 Parsing as language modelling. Lectures, C. Dyer et al, Recurrent Network Grammars (2016), B. Crabbé et al. 2019, Variable beam search for generative neural parsing B. Crabbé
Voir aussi le Groupe de lecture du RCLN