Search Results for author: Nabil Hathout

Found 23 papers, 2 papers with code

Organizing and Improving a Database of French Word Formation Using Formal Concept Analysis

no code implementations LREC 2022 Nyoman Juniarta, Olivier Bonami, Nabil Hathout, Fiammetta Namer, Yannick Toussaint

A family is regarded as a possible anomaly (meaning that it may have missing and/or spurious derivations) if its derivational graph is almost, but not completely identical to a large number of other families.

About Time: Do Transformers Learn Temporal Verbal Aspect?

1 code implementation CMCL (ACL) 2022 Eleni Metheniti, Tim Van De Cruys, Nabil Hathout

Aspect is a linguistic concept that describes how an action, event, or state of a verb phrase is situated in time.

Prédire l’aspect linguistique en anglais au moyen de transformers (Classifying Linguistic Aspect in English with Transformers )

no code implementations JEP/TALN/RECITAL 2021 Eleni Metheniti, Tim Van De Cruys, Nabil Hathout

L’aspect du verbe décrit la manière dont une action, un événement ou un état exprimé par un verbe est lié au temps ; la télicité est la propriété d’un syntagme verbal qui présente une action ou un événement comme étant mené à son terme ; la durée distingue les verbes qui expriment une action (dynamique) ou un état (statique).

Not quite there yet: Combining analogical patterns and encoder-decoder networks for cognitively plausible inflection

no code implementations ACL (SIGMORPHON) 2021 Basilio Calderone, Nabil Hathout, Olivier Bonami

The paper presents four models submitted to Part 2 of the SIGMORPHON 2021 Shared Task 0, which aims at replicating human judgements on the inflection of nonce lexemes.

How Relevant Are Selectional Preferences for Transformer-based Language Models?

1 code implementation COLING 2020 Eleni Metheniti, Tim Van De Cruys, Nabil Hathout

Selectional preference is defined as the tendency of a predicate to favor particular arguments within a certain linguistic context, and likewise, reject others that result in conflicting or implausible meanings.


ENGLAWI: From Human- to Machine-Readable Wiktionary

no code implementations LREC 2020 Franck Sajous, Basilio Calderone, Nabil Hathout

This paper introduces ENGLAWI, a large, versatile, XML-encoded machine-readable dictionary extracted from Wiktionary.

Word Embeddings

Demonette2 - Une base de donn\'ees d\'erivationnelle du fran\ccais \`a grande \'echelle : premiers r\'esultats (Demonette2 -- A large scale derivational database for French: first results)

no code implementations JEPTALNRECITAL 2019 Fiammetta Namer, Lucie Barque, Olivier Bonami, Pauline Haas, Nabil Hathout, Delphine Tribout

Cet article pr{\'e}sente la conception et le d{\'e}veloppement de Demonette2, une base de donn{\'e}es d{\'e}rivationnelle {\`a} grande {\'e}chelle du fran{\c{c}}ais, d{\'e}velopp{\'e}e dans le cadre du projet ANR D{\'e}monext (ANR-17-CE23-0005).

Wiktionnaire's Wikicode GLAWIfied: a Workable French Machine-Readable Dictionary

no code implementations LREC 2016 Nabil Hathout, Franck Sajous

Besides this diversity and extensive lexical coverage, GLAWI is also remarkable because it is the only free lexical resource of contemporary French that contains definitions.

GL\`AFF, a Large Versatile French Lexicon

no code implementations LREC 2014 Nabil Hathout, Franck Sajous, Basilio Calderone

This paper introduces GLAFF, a large-scale versatile French lexicon extracted from Wiktionary, the collaborative online dictionary.

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