, Dynamic categorization of clinical research eligibility criteria by hierarchical clustering, Journal of Biomedical Informatics, vol.44, pp.927-935, 2011.
MEANS: A medical questionanswering system combining NLP techniques and semantic Web technologies. Information processing & management, vol.51, pp.570-594, 2015. ,
Reading Wikipedia to Answer Open-Domain Questions, Proceedings of ACL 2017, pp.1870-1879, 2017. ,
Finding needles in the haystack: Search and candidate generation, IBM Journal of Research and Development, vol.56, issue.4, pp.6-7, 2012. ,
Answer type validation in question answering systems, RIAO 2010, 9th International Conference, 2010.,
URL : https://hal.archives-ouvertes.fr/hal-02282099
Selecting answers to questions from Web documents by a robust validation process, Isabelle Robba, and Anne Vilnat, 2011.,
URL : https://hal.archives-ouvertes.fr/hal-02282060
, Wikireading: A novel large-scale language understanding task over wikipedia, 2016.
A Study of Word Embeddings for Biomedical Question Answering, SIIM'17, 2017.,
URL : https://hal.archives-ouvertes.fr/hal-01704570
Representing clinical questions by semantic type for better classification, AMIA Annual Symposium Proceedings. 987â??987, 2006. ,
A survey on question answering technology from an information retrieval perspective, Information Sciences, vol.181, pp.5412-5434, 2011. ,
Learning question classifiers: the role of semantic information, Natural Language Engineering, vol.12, issue.3, pp.229-249, 2006. ,
Distributed representations of words and phrases and their compositionality, Advances in neural information processing systems, pp.3111-3119, 2013. ,
Results of the fifth edition of the BioASQ Challenge, Georgios Paliouras, and Ioannis Kakadiaris, pp.48-57, 2017. ,
BioMedLAT corpus: Annotation of the lexical answer type for biomedical questions, Proceedings of the Open Knowledge Base and Question Answering Workshop, pp.49-58, 2016. ,
, MS MARCO: A human generated machine reading comprehension dataset, 2016.
Formalizing biomedical concepts from textual definitions, J. Biomedical Semantics, vol.6, p.22, 2015. ,
Squad: 100,000+ questions for machine comprehension of text, 2016. ,
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition, BMC Bioinformatics, vol.16, issue.1, p.138, 2015.,
URL : https://hal.archives-ouvertes.fr/hal-01156600
Making neural qa as simple as possible but not simpler, Proceedings of the 21st Conference on Computational Natural Language Learning, pp.271-280, 2017. ,
Neural Domain Adaptation for Biomedical Question Answering, Proceedings of CoNLL 2017, pp.281-289, 2017. ,
, Neural question answering at bioasq 5b, 2017.
Learning to answer biomedical questions: Oaqa at bioasq 4b, Proceedings of the Fourth BioASQ workshop, pp.23-37, 2016. ,
, First International Workshop on Hybrid Question Answering with Structured and Unstructured Knowledge (HQA'18) WWW 2018, 2018.