F
Frédéric Agnès
Publications - 7
Citations - 119
Frédéric Agnès is an academic researcher. The author has contributed to research in topics: Plagiarism detection & Similarity (network science). The author has an hindex of 6, co-authored 7 publications receiving 99 citations.
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Proceedings ArticleDOI
Using Word Embedding for Cross-Language Plagiarism Detection
TL;DR: This paper introduces new cross-language similarity detection methods based on distributed representation of words and combines the different methods proposed to verify their complementarity, obtaining an overall F1 score of 89.15% for English-French similarity detection at chunk level.
Proceedings Article
A Multilingual, Multi-Style and Multi-Granularity Dataset for Cross-Language Textual Similarity Detection
TL;DR: The proposed dataset is multilingual, includes cross-language alignment for different granularities (from chunk to document), is based on both parallel and comparable corpora and contains human and machine translated texts.
Posted Content
UsingWord Embedding for Cross-Language Plagiarism Detection
TL;DR: This paper proposed to use distributed representation of words (word embeddings) in cross-language textual similarity detection and obtained an overall F1 score of 89.15% for English-French similarity detection at chunk level (88.5% at sentence level) on a very challenging corpus.
Proceedings ArticleDOI
Deep Investigation of Cross-Language Plagiarism Detection Methods.
TL;DR: This paper investigates cross-language plagiarism detection methods for 6 language pairs on 2 granularities of text units in order to draw robust conclusions on the best methods while deeply analyzing correlations across document styles and languages.
Posted Content
Deep Investigation of Cross-Language Plagiarism Detection Methods
TL;DR: This paper investigated cross-language plagiarism detection methods for 6 language pairs on 2 granularities of text units in order to draw robust conclusions on the best methods while deeply analyzing correlations across document styles and languages.