- (Shi et al., 2007b) ⇒ Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, Baohua Gu, Mehdi M. Kashani, Anoop Sarkar, Fred Popowich. (2007). “Question Answering Summarization of Multiple Biomedical Documents.” In: Proceedings of Canadian AI Conference (CAI 2007).
- ~7 http://scholar.google.com/scholar?q=%22Question+Answering+Summarization+of+Multiple+Biomedical+Documents%22+2007
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 abstracts as expert-written summaries. Evaluation results indicate that our system does help in answering questions and the automatically generated summaries are comparable to abstracts of biomedical articles, as evaluated using the ROUGE measure.
|2007 QASummaOfMultBiomedDocs||Gabor Melli|
Mehdi M. Kashani
|Question Answering Summarization of Multiple Biomedical Documents||http://www.cs.sfu.ca/~anoop/papers/pdf/biosquash.pdf|