no code implementations • SmiLa (LREC) 2022 • Auriane Boudin, Roxane Bertrand, Magalie Ochs, Philippe Blache, Stephane Rauzy
The aim of this study is to investigate conversational feedbacks that contain smiles and laughs.
no code implementations • LREC 2022 • Philippe Blache, Salomé Antoine, Dorina De Jong, Lena-Marie Huttner, Emilia Kerr, Thierry Legou, Eliot Maës, Clément François
We present in this paper the first natural conversation corpus recorded with all modalities and neuro-physiological signals.
1 code implementation • Joint Conference on Lexical and Computational Semantics 2021 • Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache
Prior research has explored the ability of computational models to predict a word semantic fit with a given predicate.
no code implementations • COLING 2020 • Philippe Blache, Massina Abderrahmane, St{\'e}phane Rauzy, Magalie Ochs, Houda Oufaida
Dialogue act classification becomes a complex task when dealing with fine-grain labels.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Giulia Rambelli, Emmanuele Chersoni, Alessandro Lenci, Philippe Blache, Chu-Ren Huang
In linguistics and cognitive science, Logical metonymies are defined as type clashes between an event-selecting verb and an entity-denoting noun (e. g.
no code implementations • WS 2019 • Giulia Rambelli, Emmanuele Chersoni, Philippe Blache, Chu-Ren Huang, Aless Lenci, ro
In this paper, we propose a new type of semantic representation of Construction Grammar that combines constructions with the vector representations used in Distributional Semantics.
no code implementations • 17 Jun 2019 • Emmanuele Chersoni, Enrico Santus, Ludovica Pannitto, Alessandro Lenci, Philippe Blache, Chu-Ren Huang
In this paper, we propose a Structured Distributional Model (SDM) that combines word embeddings with formal semantics and is based on the assumption that sentences represent events and situations.
no code implementations • WS 2018 • Emmanuele Chersoni, Adri{\`a} Torrens Urrutia, Philippe Blache, Aless Lenci, ro
Distributional Semantic Models have been successfully used for modeling selectional preferences in a variety of scenarios, since distributional similarity naturally provides an estimate of the degree to which an argument satisfies the requirement of a given predicate.
no code implementations • LREC 2018 • Magalie Ochs, Philippe Blache, Gr{\'e}goire de Montcheuil, Perg, Jean-Marie i, Jorane Saubesty, Daniel Francon, Daniel Mestre
no code implementations • WS 2017 • Emmanuele Chersoni, Enrico Santus, Philippe Blache, Alessandro Lenci
Despite the number of NLP studies dedicated to thematic fit estimation, little attention has been paid to the related task of composing and updating verb argument expectations.
no code implementations • SEMEVAL 2017 • Emmanuele Chersoni, Aless Lenci, ro, Philippe Blache
In theoretical linguistics, logical metonymy is defined as the combination of an event-subcategorizing verb with an entity-denoting direct object (e. g., The author began the book), so that the interpretation of the VP requires the retrieval of a covert event (e. g., writing).
1 code implementation • EMNLP 2017 • Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Philippe Blache
In this paper, we introduce a new distributional method for modeling predicate-argument thematic fit judgments.
no code implementations • WS 2016 • Emmanuele Chersoni, Philippe Blache, Aless Lenci, ro
The composition cost of a sentence depends on the semantic coherence of the event being constructed and on the activation degree of the linguistic constructions.
no code implementations • PACLIC 2016 • Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Chu-Ren Huang, Philippe Blache
In Distributional Semantic Models (DSMs), Vector Cosine is widely used to estimate similarity between word vectors, although this measure was noticed to suffer from several shortcomings.
no code implementations • EMNLP 2016 • Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache, Chu-Ren Huang
Several studies on sentence processing suggest that the mental lexicon keeps track of the mutual expectations between words.
no code implementations • LREC 2016 • Philippe Blache, St{\'e}phane Rauzy, Gr{\'e}goire Montcheuil
We propose in this paper, focusing on the question of syntactic typology, a method for automatically extracting such parameters from treebanks, bringing them into a typology perspective.
no code implementations • LREC 2016 • Philippe Blache, Gr{\'e}goire de Montcheuil, Laurent Pr{\'e}vot, St{\'e}phane Rauzy
The question of the type of text used as primary data in treebanks is of certain importance.
no code implementations • JEPTALNRECITAL 2015 • Philippe Blache, Gr{\'e}groie de Montcheuil, St{\'e}phane Rauzy
La typologie des langues repose sur l{'}{\'e}tude de la r{\'e}alisation de propri{\'e}t{\'e}s ou ph{\'e}nom{\`e}nes linguistiques dans plusieurs langues ou familles de langues.
no code implementations • JEPTALNRECITAL 2015 • Philippe Blache, Gr{\'e}goire Moncheuil, St{\'e}phane Rauzy, Marie-Laure Gu{\'e}not
Nous pr{\'e}sentons ici 4-couv, un nouveau corpus arbor{\'e} d{'}environ 3 500 phrases, constitu{\'e} d{'}un ensemble de quatri{\`e}mes de couverture, {\'e}tiquet{\'e} et analys{\'e} automatiquement puis corrig{\'e} et valid{\'e} {\`a} la main.
no code implementations • LREC 2012 • Julien Seinturier, Elisabeth Murisasco, Emmanuel Bruno, Philippe Blache
This paper focuses on the representation and querying of knowledge-based multimodal data.