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Pierre Zweigenbaum

Pierre Zweigenbaum

D-Index & Metrics

Computer Science

D-Index
41
Citations
5962
World Ranking
8943
National Ranking
215

Overview

Pierre Zweigenbaum is affiliated with the University of Paris-Saclay in France. Their research focuses primarily on computer science, with a strong emphasis on artificial intelligence.

Their work spans several subfields, including:

  • Artificial Intelligence
  • Molecular Biology
  • Computational Theory and Mathematics
  • Language and Linguistics
  • Toxicology

They have contributed to a range of topics, notably:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Semantic Web and Ontologies
  • Computational Drug Discovery Methods
  • Pharmacovigilance and Adverse Drug Reactions
  • Text Readability and Simplification

Pierre Zweigenbaum has published extensively in several venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • BMC Medical Informatics and Decision Making
  • Journal of Clinical Epidemiology
  • Journal of Medical Systems
  • BMC Bioinformatics

Some of their recent papers are:

  • Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials (2020, Journal of Clinical Epidemiology)
  • CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters (2020, arXiv [Cornell University])
  • Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System (2021, Journal of Medical Systems)
  • C-Norm: a neural approach to few-shot entity normalization (2020, BMC Bioinformatics)
  • Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction (2022, arXiv [Cornell University])

They have collaborated frequently with several researchers, including:

  • Serge Sharoff
  • Reinhard Rapp
  • Thomas Lavergne
  • Louise Deléger
  • Robert Bossy

In addition to research articles, Pierre Zweigenbaum has contributed to book publications. One such work is titled Building and Using Comparable Corpora for Multilingual Natural Language Processing, published in 2023 by Morgan & Claypool Publishers.

Best Publications

  • Frontiers of biomedical text mining: current progress

    Pierre Zweigenbaum;Dina Demner-Fushman;Hong Yu;Kevin Bretonnel Cohen

  • Clinical Natural Language Processing in languages other than English: opportunities and challenges

    Aurélie Névéol;Hercules Dalianis;Sumithra Velupillai;Sumithra Velupillai;Guergana Savova

  • MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies

    Asma Ben Abacha;Pierre Zweigenbaum

  • Overview of BioNLP Shared Task 2013

    Claire Nédellec;Robert Bossy;Jin-Dong Kim;Jung-Jae Kim

  • Automatic extraction of semantic relations between medical entities: a rule based approach

    Asma Ben Abacha;Pierre Zweigenbaum

  • Looking for candidate translational equivalents in specialized, comparable corpora

    Yun-Chuang Chiao;Pierre Zweigenbaum

  • Text mining applications in psychiatry: a systematic literature review.

    Adeline Abbe;Adeline Abbe;Cyril Grouin;Pierre Zweigenbaum;Bruno Falissard;Bruno Falissard

  • MENELAS: an access system for medical records using natural language.

    Pierre Zweigenbaum

  • CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

    Hicham El Boukkouri;Olivier Ferret;Thomas Lavergne;Hiroshi Noji

  • Issues in the structuring and acquisition of an ontology for medical language understanding.

    P Zweigenbaum;B Bachimont;J Bouaud;J Charlet

  • Medical Entity Recognition: A Comparaison of Semantic and Statistical Methods

    Asma Ben Abacha;Pierre Zweigenbaum

  • Towards a medical question-answering system: a feasibility study.

    Pierre Jacquemart;Pierre Zweigenbaum

  • Identifying bilingual Multi-Word Expressions for Statistical Machine Translation

    Dhouha Bouamor;Nasredine Semmar;Pierre Zweigenbaum

  • Text mining for pharmacovigilance

    Asma Ben Abacha;Md. Faisal Mahbub Chowdhury;Aikaterini Karanasiou;Yassine Mrabet

  • Proposal for an Extension of Traditional Named Entities: From Guidelines to Evaluation, an Overview

    Cyril Grouin;Sophie Rosset;Pierre Zweigenbaum;Karën Fort

  • Medical question answering: translating medical questions into sparql queries

    Asma Ben Abacha;Pierre Zweigenbaum

  • Proposal for an Extension of Traditional Named Entitites: from Guidelines to Evaluation, an Overview

    Cyril Grouin;Sophie Rosset;Pierre Zweigenbaum;Karen Fort

  • Mining defining contexts to help structuring differential ontologies

    Véronique Malaisé;Pierre Zweigenbaum;Bruno Bachimont

  • Extracting Lay Paraphrases of Specialized Expressions from Monolingual Comparable Medical Corpora.

    Louise Deléger;Pierre Zweigenbaum

  • Detecting Semantic Relations between Terms in Definitions

    Véronique Malaisé;Pierre Zweigenbaum;Bruno Bachimont

  • Overview of the Second BUCC Shared Task: Spotting Parallel Sentences in Comparable Corpora

    Pierre Zweigenbaum;Serge Sharoff;Reinhard Rapp

Frequent Co-Authors

Anita Burgun
Anita Burgun Université Paris Cité
Marc Cavazza
Marc Cavazza University of Stirling
Dina Demner-Fushman
Dina Demner-Fushman National Institutes of Health
Loïc Lepiniec
Loïc Lepiniec University of Paris-Saclay
Guergana Savova
Guergana Savova Harvard University
Patrick Ruch
Patrick Ruch Swiss Institute of Bioinformatics
Hong Yu
Hong Yu University of Massachusetts Lowell
Lawrence Hunter
Lawrence Hunter University of Colorado Denver
Pascale Fung
Pascale Fung Hong Kong University of Science and Technology

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