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2007
Springer

Question Answering Summarization of Multiple Biomedical Documents

9 years 8 months ago
Question Answering Summarization of Multiple Biomedical Documents
Abstract. 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 the information need. Due to the absence of expert-written summaries of biomedical documents, we propose an approximate evaluation by taking MEDLINE s as expert-written summaries. Evaluation results indicate that our system does help in answering questions and the automatically genummaries are comparable to abstracts of biomedical articles, as evaluated using the ROUGE measure.
Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu,
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where AI
Authors Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, Baohua Gu, Mehdi M. Kashani, Anoop Sarkar, Fred Popowich
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