---
title: "Who cites Béatrice Daille — 221 papers of our library"
description: "221 papers of the Elamur Research library cite the works of Béatrice Daille, found in their bibliographies; the most cited first."
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---
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# Who cites Béatrice Daille

256 citations of their works from 221 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · [← Béatrice Daille](https://md.research.elamur.ai/free/en/authors/beatrice-daille/)

1. **[Automatic Keyphrase Extraction: A Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/hasan-2014-automatic-keyphrase-extraction-survey-state/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kazi Saidul Hasan, Vincent Ng*2014 · 590 citations*
2. **[BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains](https://md.research.elamur.ai/free/en/papers/labrak-2024-biomistral-collection-open-source-pretrained/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.*2024 · 409 citations*
3. **[Towards Building Multilingual Language Model for Medicine](https://md.research.elamur.ai/free/en/papers/qiu-2024-towards-building-multilingual-language-model/) [Nature Communications](https://md.research.elamur.ai/free/en/venues/nature-communications/)**Pengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, et al.*2024 · 184 citations*
4. **[Parsing Models for Identifying Multiword Expressions](https://md.research.elamur.ai/free/en/papers/green-2013-parsing-models-identifying-multiword-expressions/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Spence Green, Marie-Catherine de Marneffe, Christopher D. Manning*2013 · 110 citations*
5. [**Automatic Extraction of Arabic Multiword Expressions Proceedings of the 2010 Workshop on Multiword Expressions: from Theory to Applications**Mohammed Attia, Antonio Toral, Lamia Tounsi, et al.*2010 · 78 citations*](https://md.research.elamur.ai/free/en/papers/attia-2010-automatic-extraction-arabic-multiword-expressions/)
6. [**A Study of Association Measures and their Combination for Arabic MWT Extraction arXiv:1409.3005**Abdelkader El Mahdaouy, Said EL Alaoui Ouatik, Eric Gaussier*2014 · 13 citations*](https://md.research.elamur.ai/free/en/papers/mahdaouy-2014-study-association-measures-their-combination/)
7. **[MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs](https://md.research.elamur.ai/free/en/papers/alyafeai-2025-mole-metadata-extraction-validation-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem*2025 · 10 citations*
8. [**A Lexical Resource of Hebrew Verb-Noun Multi-Word Expressions**Chaya Liebeskind, Yaakov HaCohen-Kerner*2016 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2016-lexical-resource-hebrew-verb-noun/)
9. **[An Empirical Study of Arabic Formulaic Sequence Extraction Methods](https://md.research.elamur.ai/free/en/papers/alghamdi-2016-empirical-study-arabic-formulaic-sequence/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ayman Alghamdi, Eric Atwell, Claire Brierley*2016 · 5 citations*
10. [**Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification**Chaya Liebeskind, Yaakov HaCohen-Kerner*2016 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2016-semantically-motivated-hebrew-verb-noun/)
11. **[A Comparative Study in Corpus Linguistics Applied to Automatic Terminology Extraction](https://md.research.elamur.ai/free/en/papers/vazquez-2026-comparative-study-corpus-linguistics-applied/) [Workshop on Building and Using Comparable Corpora (BUCC)](https://md.research.elamur.ai/free/en/venues/bucc/)**Mercè Vàzquez, Sergi Alvarez-Vidal, Antoni Oliver*2026*
12. **[Biomed-Enriched: Data-Efficient Biomedical Pretraining via Paragraph-Level Annotation](https://md.research.elamur.ai/free/en/papers/touchent-2026-biomed-enriched-data-efficient-biomedical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rian Touchent, Nathan Godey, Éric Villemonte de la Clergerie*2026*
13. **[From Guidelines to Guarantees: A Graph-Based Evaluation Harness for Domain-Specific Evaluation of LLMs](https://md.research.elamur.ai/free/en/papers/lundin-2026-guidelines-guarantees-graph-based-evaluation/) [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/)**Jessica M. Lundin, Usman Nasir Nakakana, Guillaume Chabot-Couture*2026*
14. **[Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan Mannion, Cécile Macaire, Armand Violle, et al.*2026*
15. **[The Impact of Tokenization Algorithms on Hungarian Language Model Performance](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*
16. **[When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*
17. **[Impact de l'agglutination dans l'extraction de termes en arabe standard moderne (Adaptation of a term extractor to the Modern Standard Arabic language)](https://md.research.elamur.ai/free/en/papers/neifar-2016-impact-de-l-agglutination-dans/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Wafa Neifar, Thierry Hamon, Pierre Zweigenbaum, et al.*2016*

204 more citing papers of our library have no page here yet.

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