TY - GEN
T1 - Question intention analysis and entropy-based paragraph extraction for medical question answering
AU - Lu, Wen Hsiang
AU - Tung, Chia Ming
AU - Lin, Chi Wei
PY - 2010
Y1 - 2010
N2 - Although search engines are good at short query search, they are currently not effective for long query search or natural language question answering. Automatic question answering systems (AQAS) have been developed to solve this problem in recent years. However, general AQAS still suffer from a few problems. For example, laypersons usually use non-professional terms to express medical questions, and thus this will make general AQAS extract inappropriate answers. Besides, according to our observation, we found that most of medical questions contain not only medical terms but also question intention. Generally, AQAS is composed of three modules: question analysis, document retrieval and answer extraction. In this paper, we particularly focus on dealing with the two parts question analysis and answer extraction. Our main contributions are to propose the Question Intention Model (QIM) for question analysis and Entropy-based Paragraph Extraction Model (EPEM) for answer extraction.
AB - Although search engines are good at short query search, they are currently not effective for long query search or natural language question answering. Automatic question answering systems (AQAS) have been developed to solve this problem in recent years. However, general AQAS still suffer from a few problems. For example, laypersons usually use non-professional terms to express medical questions, and thus this will make general AQAS extract inappropriate answers. Besides, according to our observation, we found that most of medical questions contain not only medical terms but also question intention. Generally, AQAS is composed of three modules: question analysis, document retrieval and answer extraction. In this paper, we particularly focus on dealing with the two parts question analysis and answer extraction. Our main contributions are to propose the Question Intention Model (QIM) for question analysis and Entropy-based Paragraph Extraction Model (EPEM) for answer extraction.
UR - http://www.scopus.com/inward/record.url?scp=77957999277&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957999277&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-14515-5_403
DO - 10.1007/978-3-642-14515-5_403
M3 - Conference contribution
AN - SCOPUS:77957999277
SN - 9783540790389
T3 - IFMBE Proceedings
SP - 1582
EP - 1586
BT - 6th World Congress of Biomechanics, WCB 2010 - In Conjunction with 14th International Conference on Biomedical Engineering, ICBME and 5th Asia Pacific Conference on Biomechanics, APBiomech
T2 - 6th World Congress of Biomechanics, WCB 2010 - In Conjunction with 14th International Conference on Biomedical Engineering, ICBME and 5th Asia Pacific Conference on Biomechanics, APBiomech
Y2 - 1 August 2010 through 6 August 2010
ER -