LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting

no code implementations • SEMEVAL 2017 • El Moatez Billah Nagoudi, J{\'e}r{\'e}my Ferrero, Didier Schwab

This article describes our proposed system named LIM-LIG.

Descriptive Information Retrieval +7

Am\'elioration de la similarit\'e s\'emantique vectorielle par m\'ethodes non-supervis\'ees (Improved the Semantic Similarity with Weighting Vectors)

no code implementations • JEPTALNRECITAL 2017 • El-Moatez-Billah Nagoudi, J{\'e}r{\'e}my Ferrero, Didier Schwab

Semantic Similarity Semantic Textual Similarity

Using Word Embedding for Cross-Language Plagiarism Detection

no code implementations • EACL 2017 • J{\'e}r{\'e}my Ferrero, Laurent Besacier, Didier Schwab, Fr{\'e}d{\'e}ric Agn{\`e}s

This paper proposes to use distributed representation of words (word embeddings) in cross-language textual similarity detection.

Machine Translation Sentence +1

A Multilingual, Multi-style and Multi-granularity Dataset for Cross-language Textual Similarity Detection

1 code implementation • LREC 2016 • J{\'e}r{\'e}my Ferrero, Fr{\'e}d{\'e}ric Agn{\`e}s, Laurent Besacier, Didier Schwab

In this paper we describe our effort to create a dataset for the evaluation of cross-language textual similarity detection.

fr2sql : Interrogation de bases de donn\'ees en fran\ccais

no code implementations • JEPTALNRECITAL 2015 • Beno{\^\i}t Couderc, J{\'e}r{\'e}my Ferrero

Les bases de donn{\'e}es sont de plus en plus courantes et prennent de plus en plus d{'}ampleur au sein des applications et sites Web actuels.