Search Results for author: Philippe Blache

Found 25 papers, 2 papers with code

Are You Smiling When I Am Speaking?

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.

Distributional Semantics Meets Construction Grammar. towards a Unified Usage-Based Model of Grammar and Meaning

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.

A Structured Distributional Model of Sentence Meaning and Processing

no code implementations17 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.

Sentence Word Embeddings

Modeling Violations of Selectional Restrictions with Distributional Semantics

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.

Is Structure Necessary for Modeling Argument Expectations in Distributional Semantics?

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.

Logical Metonymy in a Distributional Model of Sentence Comprehension

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).

Retrieval Sentence

Measuring Thematic Fit with Distributional Feature Overlap

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.

Towards a Distributional Model of Semantic Complexity

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.

Sentence

Testing APSyn against Vector Cosine on Similarity Estimation

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.

Word Embeddings

Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity

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.

Sentence

MarsaGram: an excursion in the forests of parsing trees

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.

General Classification

Typologie automatique des langues \`a partir de treebanks

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.

Cr\'eation d'un nouveau treebank \`a partir de quatri\`emes de couverture

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.

valid

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