The LRU-K page replacement algorithm for database disk buffering
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Lexical query paraphrasing for document retrieval
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Logic form transformation of WordNet and its applicability to question answering
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
COGEX: a logic prover for question answering
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Answering clinical questions with role identification
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Question answering as question-biased term extraction: a new approach toward multilingual QA
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Does english help question answering in spanish?
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
A framework of a logic-based question-answering system for the medical domain (LOQAS-Med)
Proceedings of the 2009 ACM symposium on Applied Computing
Integrating logic forms and anaphora resolution in the AliQAn system
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Biomedical question answering: A survey
Computer Methods and Programs in Biomedicine
Can Esculape cure the complex of œdipe in the medical domain?
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Generating exact- and ranked partially-matched answers to questions in advertisements
Proceedings of the VLDB Endowment
An ontology for clinical questions about the contents of patient notes
Journal of Biomedical Informatics
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In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of this QA system include the simple process of defining the question taxonomy answered by the system as well as the possibility of locally or remotely managed document collections. The main computing methods of the QA system are based on the application of natural language processing (NLP) techniques to infer the logic forms and on the treatment of the logic forms. The knowledge of the system is acquired through the use of two different resources: Unified Medical Language System (UMLS) to handle the medical terminology and WordNet to manage the open-domain terminology.