Benoît Crabbé

867 citations
25 papers · 143 indexed · h-index 9

Impact in

Papers in

    • Natural Language Processing Techniques 19
    • Topic Modeling 13
    • Text Readability and Simplification 5
    • Speech and dialogue systems 4
    • Semantic Web and Ontologies 3
    • Syntax, Semantics, Linguistic Variation 4

Benoît Crabbé

21 papers receiving 128 citations

Peers

Benoît Crabbé
Comparison fields: 5 of 29
  • Artificial Intelligence 99
  • Linguistics and Language 13
  • Language and Linguistics 27
  • Developmental and Educational Psychology 22
  • Software 5
Replace Emiliano Guevara with:
Emiliano Guevara Norway
Kordula De Kuthy Germany
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Carlos Ramisch France
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Susanne Z. Riehemann United States
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Elisabetta Ježek Italy
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Citations per field
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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 22 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201422
2 201216
3 201911
4 201611
5 201911
6 202410
7 200210
8 20159
9 20098
10 20234
11 20104
12 20064
13 20123
14 20213
15 20183
16
Premier bilan de la participation du LORIA à la campagne d'évaluation EASY
20053
17
Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus
20122
18 20062
19
Une plate-forme de conception et d’exploitation d’une grammaire d’arbres adjoints lexicalisés
20032
20 20211

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 25 papers that have together received 143 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (13 papers), Text Readability and Simplification (5 papers), Linguistics and Discourse Analysis (4 papers), Speech and dialogue systems (4 papers), Syntax, Semantics, Linguistic Variation (4 papers), Semantic Web and Ontologies (3 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Artificial Intelligence (99 citations), Linguistics and Language (13 citations), Language and Linguistics (27 citations), Developmental and Educational Psychology (22 citations) and Software (5 citations). Benoît Crabbé has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Maximin Coavoux, Anne Christophe, Isabelle Dautriche, Sophie Prévost, Joseph Le Roux, Yannick Parmentier, Shay B. Cohen, Denys Duchier, Guillaume Wisniewski and Djamé Seddah. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Language Acquisition, Computational Linguistics, Seminars in Cardiothoracic and Vascular Anesthesia and Diachronica.

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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