Online access to knowledge: system design
Journal of the American Society for Information Science
Users' criteria for relevance evaluation: a cross-situational comparison
Information Processing and Management: an International Journal
Modern Information Retrieval
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Feature Selection for Unbalanced Class Distribution and Naive Bayes
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Natural language question answering: the view from here
Natural Language Engineering
Journal of Biomedical Informatics - Special issue: Unified medical language system
The role of knowledge in conceptual retrieval: a study in the domain of clinical medicine
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Answer extraction, semantic clustering, and extractive summarization for clinical question answering
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Automatically evaluating answers to definition questions
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Will pyramids built of nuggets topple over?
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Generative content models for structural analysis of medical abstracts
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
Abstraction summarization for managing the biomedical research literature
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Issues in stacked generalization
Journal of Artificial Intelligence Research
Customization in a unified framework for summarizing medical literature
Artificial Intelligence in Medicine
The role of knowledge in conceptual retrieval: a study in the domain of clinical medicine
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Answer extraction, semantic clustering, and extractive summarization for clinical question answering
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Toward automatic facet analysis and need negotiation: Lessons from mediated search
ACM Transactions on Information Systems (TOIS)
Vaidurya: A multiple-ontology, concept-based, context-sensitive clinical-guideline search engine
Journal of Biomedical Informatics
Modeling information-seeker satisfaction in community question answering
ACM Transactions on Knowledge Discovery from Data (TKDD)
A framework of a logic-based question-answering system for the medical domain (LOQAS-Med)
Proceedings of the 2009 ACM symposium on Applied Computing
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Methodological Review: What can natural language processing do for clinical decision support?
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Automatically generating Wikipedia articles: a structure-aware approach
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Knowledge and reasoning for medical question-answering
KRAQ '09 Proceedings of the 2009 Workshop on Knowledge and Reasoning for Answering Questions
Biomedical question answering: A survey
Computer Methods and Programs in Biomedicine
UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text
Journal of Biomedical Informatics
Clinical information retrieval using document and PICO structure
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A study on the use of search engines for answering clinical questions
HIKM '10 Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management - Volume 108
Positional language models for clinical information retrieval
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Automatic classification of sentences for evidence based medicine
DTMBIO '10 Proceedings of the ACM fourth international workshop on Data and text mining in biomedical informatics
Deriving a test collection for clinical information retrieval from systematic reviews
DTMBIO '10 Proceedings of the ACM fourth international workshop on Data and text mining in biomedical informatics
Automatically extracting information needs from complex clinical questions
Journal of Biomedical Informatics
Can Esculape cure the complex of œdipe in the medical domain?
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
AskHERMES: An online question answering system for complex clinical questions
Journal of Biomedical Informatics
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
Research-IQ: Development and evaluation of an ontology-anchored integrative query tool
Journal of Biomedical Informatics
Improving medical information retrieval with PICO element detection
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
An ontology for clinical questions about the contents of patient notes
Journal of Biomedical Informatics
Combining relevancy and methodological quality into a single ranking for evidence-based medicine
Information Sciences: an International Journal
Syntactic-Semantic frames for clinical cohort identification queries
DILS'12 Proceedings of the 8th international conference on Data Integration in the Life Sciences
Inferring appropriate eligibility criteria in clinical trial protocols without labeled data
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics
A statistical relational learning approach to identifying evidence based medicine categories
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Analyzing patient records to establish if and when a patient suffered from a medical condition
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
PICO element detection in medical text without metadata: Are first sentences enough?
Journal of Biomedical Informatics
Expert Systems with Applications: An International Journal
Semantic concept-enriched dependence model for medical information retrieval
Journal of Biomedical Informatics
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The combination of recent developments in question-answering research and the availability of unparalleled resources developed specifically for automatic semantic processing of text in the medical domain provides a unique opportunity to explore complex question answering in the domain of clinical medicine. This article presents a system designed to satisfy the information needs of physicians practicing evidence-based medicine. We have developed a series of knowledge extractors, which employ a combination of knowledge-based and statistical techniques, for automatically identifying clinically relevant aspects of MEDLINE abstracts. These extracted elements serve as the input to an algorithm that scores the relevance of citations with respect to structured representations of information needs, in accordance with the principles of evidence-based medicine. Starting with an initial list of citations retrieved by PubMed, our system can bring relevant abstracts into higher ranking positions, and from these abstracts generate responses that directly answer physicians' questions. We describe three separate evaluations: one focused on the accuracy of the knowledge extractors, one conceptualized as a document reranking task, and finally, an evaluation of answers by two physicians. Experiments on a collection of real-world clinical questions show that our approach significantly outperforms the already competitive PubMed baseline.