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Findings of the 2016 Conference on Machine Translation
This paper presents the results of the WMT16 shared tasks, which included five machine translation (MT) tasks (standard news, IT-domain, biomedical, multimodal, pronoun), three evaluation tasks…
Recommending MeSH terms for annotating biomedical articles
- Minlie Huang, Aurélie Névéol, Zhiyong Lu
- Computer ScienceJ. Am. Medical Informatics Assoc.
- 25 May 2011
A novel approach to facilitate MeSH indexing, a challenging task of assigning MeSH terms to MEDLINE citations for their archiving and retrieval, makes the most accurate MeSH predictions to date, which suggests its great potential in making a practical impact on MeSHIndexing.
Understanding PubMed® user search behavior through log analysis
- R. Dogan, G. C. Murray, Aurélie Névéol, Zhiyong Lu
- Computer ScienceDatabase J. Biol. Databases Curation
- 27 November 2009
This investigation was conducted through the analysis of one month of log data, consisting of more than 23 million user sessions and more than 58 million user queries, which provided insight into PubMed users’ needs and their behavior.
The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine
The first freely available parallel corpus of scientific publications for the biomedical domain is presented and it is shown that for all language pairs, a statistical machine translation system trained on the parallel corpora achieves performance that rivals or exceeds the state of the art in the biomedicaldomain.
Clinical Natural Language Processing in languages other than English: opportunities and challenges
This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English and identifies major challenges and opportunities that will affect the impact of NLP on clinical practice and public health studies in a context that encompasses English as well as other languages.
Overview of the CLEF eHealth Evaluation Lab 2016
- L. Kelly, L. Goeuriot, H. Suominen, Aurélie Névéol, João Palotti, G. Zuccon
- Computer Science, MedicineCLEF
- 8 September 2015
This paper reports on the 3rd CLEFeHealth evaluation lab, which continues the evaluation resource building activities for the medical domain and focuses on easing patients and nurses in authoring, understanding, and accessing eHealth information.
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers
A neural architecture for containment relation identification between medical events and/or temporal expressions is presented and the model achieves an F-measure of 0.613 and outperforms the best result reported on this corpus to date.
CLEF 2017 eHealth Evaluation Lab Overview
An overview of the fifth edition of the CLEF eHealth evaluation lab is provided and the resources created for these tasks, evaluation methodology adopted and a brief summary of participants of this year’s challenges and results obtained are described.
CLEF eHealth Evaluation Lab 2015 Task 1b: Clinical Named Entity Recognition
This paper reports on Task 1b of the 2015 CLEF eHealth evaluation lab which extended the previous information extraction tasks of ShARe/CLEF eHealth evaluation labs by considering ten types of en-…
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives
- Julien Tourille, Olivier Ferret, Xavier Tannier, Aurélie Névéol
- Computer Science*SEMEVAL
- 1 August 2017
A neural network based approach for entity and temporal relation extraction is used and two domain adaptation strategies are experimented with to achieve competitive performance for both tasks.