Béatrice Daille

1.8k total citations
39 papers, 520 citations indexed

About

Béatrice Daille is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology. According to data from OpenAlex, Béatrice Daille has authored 39 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 12 papers in Language and Linguistics and 4 papers in Molecular Biology. Recurrent topics in Béatrice Daille's work include Natural Language Processing Techniques (29 papers), Topic Modeling (14 papers) and linguistics and terminology studies (9 papers). Béatrice Daille is often cited by papers focused on Natural Language Processing Techniques (29 papers), Topic Modeling (14 papers) and linguistics and terminology studies (9 papers). Béatrice Daille collaborates with scholars based in France, United States and Japan. Béatrice Daille's co-authors include Éric Gaussier, Jean-Marc Langé, Fabrice Alizon, Adeline Nazarenko, Christian Jacquemin, Emmanuel Morin, Benoît Habert, Driss Aboutajdine, Kyo Kageura and Pierre‐Antoine Gourraud and has published in prestigious journals such as Information Processing & Management, Computers in Biology and Medicine and Language Resources and Evaluation.

In The Last Decade

Béatrice Daille

35 papers receiving 422 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Béatrice Daille France 11 416 148 66 63 19 39 520
Didier Bourigault France 12 432 1.0× 111 0.8× 141 2.1× 69 1.1× 11 0.6× 25 470
Dan Tufiş Romania 13 840 2.0× 143 1.0× 55 0.8× 59 0.9× 30 1.6× 90 921
Horacio Rodríguez Spain 15 548 1.3× 83 0.6× 68 1.0× 82 1.3× 26 1.4× 67 616
Richard Kittredge Canada 11 482 1.2× 64 0.4× 38 0.6× 63 1.0× 35 1.8× 26 575
Monica Monachini Italy 14 697 1.7× 158 1.1× 138 2.1× 69 1.1× 16 0.8× 79 759
Cédrick Fairon Belgium 9 345 0.8× 59 0.4× 76 1.2× 41 0.7× 5 0.3× 52 465
Adeline Nazarenko France 8 239 0.6× 34 0.2× 121 1.8× 43 0.7× 10 0.5× 19 311
Arantza Díaz de Ilarraza Spain 11 484 1.2× 68 0.5× 114 1.7× 34 0.5× 18 0.9× 109 547
Martin Volk Switzerland 16 810 1.9× 165 1.1× 80 1.2× 89 1.4× 96 5.1× 105 897
Patrick Paroubek France 11 333 0.8× 31 0.2× 25 0.4× 54 0.9× 9 0.5× 60 381

Countries citing papers authored by Béatrice Daille

Since Specialization
Citations

This map shows the geographic impact of Béatrice Daille'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 Béatrice Daille with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Béatrice Daille more than expected).

Fields of papers citing papers by Béatrice Daille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Béatrice Daille. 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 Béatrice Daille. The network helps show where Béatrice Daille may publish in the future.

Co-authorship network of co-authors of Béatrice Daille

This figure shows the co-authorship network connecting the top 25 collaborators of Béatrice Daille. A scholar is included among the top collaborators of Béatrice Daille based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Béatrice Daille. Béatrice Daille is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wargny, Matthieu, et al.. (2025). Assessing large language models for acute heart failure classification and information extraction from French clinical notes. Computers in Biology and Medicine. 195. 110609–110609. 1 indexed citations
2.
Dufour, Richard, et al.. (2023). DrBERT: Un modèle robuste pré-entraîné en français pour les domaines biomédical et clinique. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
3.
Daille, Béatrice, et al.. (2023). Exploring terminological relations between multi-word terms in distributional semantic models. Terminology International Journal of Theoretical and Applied Issues in Specialized Communication. 30(2). 159–189.
4.
Morin, Emmanuel, et al.. (2023). Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review. JMIR Medical Informatics. 11. e42477–e42477. 9 indexed citations
5.
Dufour, Richard, et al.. (2023). DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains. 16207–16221. 9 indexed citations
6.
Boudin, Florian, et al.. (2022). Cross-lingual and Cross-domain Transfer Learning for Automatic Term Extraction from Low Resource Data. SPIRE - Sciences Po Institutional REpository. 4 indexed citations
7.
Morin, Emmanuel, Béatrice Daille, Guillaume Bouzillé, et al.. (2022). Linking Biomedical Data Warehouse Records With the National Mortality Database in France: Large-scale Matching Algorithm. JMIR Medical Informatics. 10(11). e36711–e36711. 9 indexed citations
8.
Daille, Béatrice, et al.. (2020). Books of Hours. the First Liturgical Data Set for Text Segmentation.. Language Resources and Evaluation. 776–784. 1 indexed citations
9.
Daille, Béatrice, et al.. (2016). Terminology Extraction with Term Variant Detection. 13–18. 17 indexed citations
10.
Daille, Béatrice, et al.. (2013). Ranking Translation Candidates Acquired from Comparable Corpora. International Joint Conference on Natural Language Processing. 401–409. 2 indexed citations
11.
Daille, Béatrice, et al.. (2011). Annotating opinion—evaluation of blogs: the Blogoscopy corpus. Language Resources and Evaluation. 45(4). 409–437. 6 indexed citations
12.
Lee, Jong Gun, et al.. (2010). UNPMC: Naive Approach to Extract Keyphrases from Scientific Articles. Meeting of the Association for Computational Linguistics. 178–181. 2 indexed citations
13.
Goeuriot, Lorraine, Béatrice Daille, & Emmanuel Morin. (2009). Compilation of Specialized Comparable Corpora in French and Japanese.. Meeting of the Association for Computational Linguistics. 55–63. 3 indexed citations
14.
Daille, Béatrice, et al.. (2008). A Multi-Word Term Extraction Program for Arabic Language.. Language Resources and Evaluation. 28 indexed citations
15.
Daille, Béatrice, Samuel Dufour-Kowalski, & Emmanuel Morin. (2004). French-English Multi-word Term Alignment Based on Lexical Context Analysis. Language Resources and Evaluation. 2 indexed citations
16.
Morin, Emmanuel, et al.. (2002). Incremental Recognition and Referential Categorization of French Proper Names. Language Resources and Evaluation.
17.
Tsuji, Keita, Béatrice Daille, & Kyo Kageura. (2002). Extracting French-Japanese Word Pairs from Bilingual Corpora based on Transliteration Rules.. Language Resources and Evaluation. 7 indexed citations
18.
Daille, Béatrice & Geoffrey Williams. (2001). Collocation: Computational Extraction, Analysis and Exploitation. Data Archiving and Networked Services (DANS). 4 indexed citations
19.
Daille, Béatrice & Christian Jacquemin. (1998). Lexical database and information access: a fruitful association?. Language Resources and Evaluation. 669–674. 2 indexed citations
20.
Langé, Jean-Marc, Éric Gaussier, & Béatrice Daille. (1997). Bricks and Skeletons: Some Ideas for the Near Future of MAHT. Machine Translation. 12(1-2). 39–51. 13 indexed citations

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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