Search Results for author: C

Found 38 papers, 3 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.

Clustering Task 2

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

A stacking model using URL and HTML features for phishing webpage detection

no code implementations1 May 2019 Yukun Li a, Zhenguo Yang b, C, , Xu Chen a, Huaping Yuan b, Wenyin Liu b, ∗∗

In this paper, we present a stacking model to detect phishing webpages using URL and HTML features.

Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking

no code implementations1 Oct 2017 Fiorenzo Artoni a, Chiara Fanciullacci a, C, Federica Bertolucci c, Alessandro Panarese a, Scott Makeig d, Silvestro Micera a, B, 1, Carmelo Chisari

One sentence summary: Motor cortex proactively drives contralateral swing leg muscles during treadmill walking, counter to the traditional view of stereotyped human locomotion

EEG Electroencephalogram (EEG)

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).

The LetsRead Corpus of Portuguese Children Reading Aloud for Performance Evaluation

no code implementations LREC 2016 Jorge Proen{\c{c}}a, Dirce Celorico, C, Sara eias, Carla Lopes, Fern Perdig{\~a}o, o

The motivation for the creation of this corpus stems from the inexistence of databases with recordings of reading tasks of Portuguese children with different performance levels and including all the common reading aloud disfluencies.

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.

A Web Tool for Building Parallel Corpora of Spoken and Sign Languages

1 code implementation LREC 2016 Alex Becker, Fabio Kepler, C, Sara eias

By building a collaborative, online, easy to use annotation tool for building parallel corpora between spoken and sign languages we aim at helping the development of proper resources for sign languages that can then be used in state-of-the-art models currently used in tools for spoken languages.


HESITA(te) in Portuguese

no code implementations LREC 2014 C, Sara eias, Dirce Celorico, Jorge Proen{\c{c}}a, Arlindo Veiga, Carla Lopes, Fern Perdig{\~a}o, o

Hesitations, so-called disfluencies, are a characteristic of spontaneous speech, playing a primary role in its structure, reflecting aspects of the language production and the management of inter-communication.

Acoustic Modelling Automatic Speech Recognition +4

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

Rhetorical Move Detection in English Abstracts: Multi-label Sentence Classifiers and their Annotated Corpora

no code implementations LREC 2012 Carmen Dayrell, C, Arnaldo ido Jr., Gabriel Lima, Danilo Machado Jr., Ann Copestake, Val{\'e}ria Feltrim, Stella Tagnin, S Aluisio, ra

Here, we present MAZEA (Multi-label Argumentative Zoning for English Abstracts), a multi-label classifier which automatically identifies rhetorical moves in abstracts but allows for a given sentence to be assigned as many labels as appropriate.

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