Search Results for author: Benoît Sagot

Found 14 papers, 8 papers with code

Rethinking Automatic Evaluation in Sentence Simplification

2 code implementations15 Apr 2021 Thomas Scialom, Louis Martin, Jacopo Staiano, Éric Villemonte de la Clergerie, Benoît Sagot

In the context of Sentence Simplification, this is particularly challenging: the task requires by nature to replace complex words with simpler ones that shares the same meaning.

Machine Translation Text Generation

Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering

1 code implementation23 Oct 2020 Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, Jacopo Staiano

Coupled with the availability of large scale datasets, deep learning architectures have enabled rapid progress on the Question Answering task.

Cross-Lingual Question Answering Data Augmentation +1

MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases

1 code implementation1 May 2020 Louis Martin, Angela Fan, Éric de la Clergerie, Antoine Bordes, Benoît Sagot

Progress in sentence simplification has been hindered by a lack of labeled parallel simplification data, particularly in languages other than English.

Parallel Corpus Mining Text Simplification

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

1 code implementation ACL 2020 Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot, Lucia Specia

Furthermore, we motivate the need for developing better methods for automatic evaluation using ASSET, since we show that current popular metrics may not be suitable when multiple simplification transformations are performed.

Neural language modeling of free word order argument structure

no code implementations30 Nov 2019 Charlotte Rochereau, Benoît Sagot, Emmanuel Dupoux

Neural language models trained with a predictive or masked objective have proven successful at capturing short and long distance syntactic dependencies.

Language Modelling

Controllable Sentence Simplification

1 code implementation LREC 2020 Louis Martin, Benoît Sagot, Éric de la Clergerie, Antoine Bordes

Text simplification aims at making a text easier to read and understand by simplifying grammar and structure while keeping the underlying information identical.

Text Simplification

Reference-less Quality Estimation of Text Simplification Systems

1 code implementation WS 2018 Louis Martin, Samuel Humeau, Pierre-Emmanuel Mazaré, Antoine Bordes, Éric Villemonte de la Clergerie, Benoît Sagot

We show that n-gram-based MT metrics such as BLEU and METEOR correlate the most with human judgment of grammaticality and meaning preservation, whereas simplicity is best evaluated by basic length-based metrics.

Machine Translation Text Simplification +1

External Lexical Information for Multilingual Part-of-Speech Tagging

no code implementations12 Jun 2016 Benoît Sagot

Morphosyntactic lexicons and word vector representations have both proven useful for improving the accuracy of statistical part-of-speech taggers.

Part-Of-Speech Tagging

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