BIOMEDICAL QUESTION ANSWERING

1 online resource (34 pages) : PDF

2017

University of North Carolina at Charlotte

A Biomedical Question Answering system allows biomedical experts to use unstructured knowledge in a more effective way. Our system can index vast majority of biomedical articles and can do information retrieval to find most relevant articles to answer given an input question. The system can also summarize and return answer given a set of snippets from the extracted articles. The system can also answer in exact words and list of words depending on the type of question. We have evaluated our system on BioASQ dataset and have shown our results

masters theses

Computer science

M.S.

Factoid Question Answering
Natural Language Processing
Question Answering
Summarization

Computer Science

Zadrozny, Wlodek

Ras, Zbigniew
Shaikh, Samira

Thesis (M.S.)--University of North Carolina at Charlotte, 2017.

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Bhandwaldar_uncc_0694N_11580

http://hdl.handle.net/20.500.13093/etd:568