Search Results for author: Marie ito

Found 24 papers, 1 papers with code

SemEval-2019 Task 2: Unsupervised Lexical Frame Induction

no code implementations SEMEVAL 2019 Behrang QasemiZadeh, Miriam R. L. Petruck, Regina Stodden, Laura Kallmeyer, C, Marie ito

This paper presents Unsupervised Lexical Frame Induction, Task 2 of the International Workshop on Semantic Evaluation in 2019.

Using Wiktionary as a resource for WSD : the case of French verbs

no code implementations WS 2019 Vincent Segonne, C, Marie ito, Beno{\^\i}t Crabb{\'e}

In this paper, we investigate which strategy to adopt to achieve WSD for languages lacking data that was annotated specifically for the task, focusing on the particular case of verb disambiguation in French.

Word Sense Induction

Annotation d'expressions polylexicales verbales en fran\ccais (Annotation of verbal multiword expressions in French)

no code implementations JEPTALNRECITAL 2017 C, Marie ito, Mathieu Constant, Carlos Ramisch, Agata Savary, Yannick Parmentier, Caroline Pasquer, Jean-Yves Antoine

Nous d{\'e}crivons la partie fran{\c{c}}aise des donn{\'e}es produites dans le cadre de la campagne multilingue PARSEME sur l{'}identification d{'}expressions polylexicales verbales (Savary et al., 2017).

A General Framework for the Annotation of Causality Based on FrameNet

no code implementations LREC 2016 Laure Vieu, Philippe Muller, C, Marie ito, Marianne Djemaa

We present here a general set of semantic frames to annotate causal expressions, with a rich lexicon in French and an annotated corpus of about 5000 instances of causal lexical items with their corresponding semantic frames.

Deep Syntax Annotation of the Sequoia French Treebank

no code implementations LREC 2014 C, Marie ito, Guy Perrier, Bruno Guillaume, Corentin Ribeyre, Kar{\"e}n Fort, Djam{\'e} Seddah, {\'E}ric de la Clergerie

We define a deep syntactic representation scheme for French, which abstracts away from surface syntactic variation and diathesis alternations, and describe the annotation of deep syntactic representations on top of the surface dependency trees of the Sequoia corpus.

Dependency Parsing

Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus

no code implementations LREC 2012 Djam{\'e} Seddah, C, Marie ito, Benoit Crabb{\'e}, Enrique Henestroza Anguiano

In this paper, we introduce a set of resources that we have derived from the EST R{\'E}PUBLICAIN CORPUS, a large, freely-available collection of regional newspaper articles in French, totaling 150 million words.

Dependency Parsing Lemmatization +1

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