Benoît Crabbé

874 citations
31 papers · 211 · h-index 11

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Logic, programming, and type systems
    • Syntax, Semantics, Linguistic Variation

Papers in

    • Natural Language Processing Techniques 24
    • Topic Modeling 13
    • Text Readability and Simplification 5
    • Speech and dialogue systems 5
    • Semantic Web and Ontologies 3
    • Syntax, Semantics, Linguistic Variation 4

Benoît Crabbé

26 papers receiving 187 citations

Peers

Benoît Crabbé
Comparison fields: 5 of 28
  • Artificial Intelligence 161
  • Language and Linguistics 42
  • Linguistics and Language 18
  • Software 11
  • Developmental and Educational Psychology 25
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Citations per year

Countries citing papers authored by Benoît Crabbé

Since Specialization
Citations

This map shows the geographic impact of Benoît Crabbé's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benoît Crabbé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Crabbé more than expected).

Fields of papers citing papers by Benoît Crabbé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît Crabbé. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benoît Crabbé. The network helps show where Benoît Crabbé may publish in the future.

Co-authors

The 23 scholars most cited alongside Benoît Crabbé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Crabbé Line = papers co-authored together Benoît Crabbé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201425
2 201223
3 200523
4 200515
5 202414
6 200213
7 201612
8 201911
9 201810
10 201910
11 200910
12 20158
13 20124
14 20234
15
Premier bilan de la participation du LORIA à la campagne d'évaluation EASY
20054
16 20064
17 20104
18 20213
19 20122
20
Une plate-forme de conception et d’exploitation d’une grammaire d’arbres adjoints lexicalisés
20032

About Benoît Crabbé

Benoît Crabbé is a scholar working on Artificial Intelligence, Language and Linguistics, Philosophy, Experimental and Cognitive Psychology and Computer Networks and Communications, having authored 31 papers that have together received 211 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (13 papers), Text Readability and Simplification (5 papers), Speech and dialogue systems (5 papers), Syntax, Semantics, Linguistic Variation (4 papers), Linguistics and Discourse Analysis (4 papers), Phonetics and Phonology Research (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (161 citations), Language and Linguistics (42 citations), Linguistics and Language (18 citations), Software (11 citations) and Developmental and Educational Psychology (25 citations). Benoît Crabbé has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Denys Duchier, Maximin Coavoux, Sophie Prévost, Anne Christophe, Yannick Parmentier, Joseph Le Roux, Isabelle Dautriche, Claire Gardent, Djamé Seddah and Marie Candito. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Glossa a journal of general linguistics, Language Resources and Evaluation, Language Acquisition and Seminars in Cardiothoracic and Vascular Anesthesia.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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