Usability survey of biomedical question answering systems
نویسندگان
چکیده
منابع مشابه
Biomedical question answering: A survey
OBJECTIVES In this survey, we reviewed the current state of the art in biomedical QA (Question Answering), within a broader framework of semantic knowledge-based QA approaches, and projected directions for the future research development in this critical area of intersection between Artificial Intelligence, Information Retrieval, and Biomedical Informatics. MATERIALS AND METHODS We devised a ...
متن کاملA Survey of Datasets for Biomedical Question Answering Systems
The massively ever increasing amount of textual and linked biomedical data available online poses many challenges for information seekers. So, the focus of information retrieval community has shifted to precise information retrieval, i.e. providing exact answer to a user question. In recent years, many datasets related to Biomedical Question Answering (BioQA) have emerged which the researchers ...
متن کاملOptimizing question answering systems by Accelerated Particle Swarm Optimization (APSO)
One of the most important research areas in natural language processing is Question Answering Systems (QASs). Existing search engines, with Google at the top, have many remarkable capabilities. But there is a basic limitation (search engines do not have deduction capability), a capability which a QAS is expected to have. In this perspective, a search engine may be viewed as a semi-mechanized QA...
متن کاملQuestion Answering Evaluation Survey
Evaluating Question Answering (QA) Systems is a very complex task: state-of-the-art systems involve processing whose influences and contributions on the final result are not clear and need to be studied. We present some key points on different aspects of the QA Systems (QAS) evaluation: mainly, as performed during large-scale campaigns, but also with clues on the evaluation of QAS typical softw...
متن کاملQuestion Answering Summarization of Multiple Biomedical Documents
In this paper we introduce a system that automatically summarizes multiple biomedical documents relevant to a question. The system extracts biomedical and general concepts by utilizing concept-level knowledge from domain-specific and domain-independent sources. Semantic role labeling, semantic subgraph-based sentence selection and automatic post-editing are involved in the process of finding th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Human Genomics
سال: 2012
ISSN: 1479-7364
DOI: 10.1186/1479-7364-6-17