TY - GEN
T1 - An approach for query-focused text summarisation for evidence based medicine
AU - Sarker, Abeed
AU - Mollá, Diego
AU - Paris, Cécile
PY - 2013
Y1 - 2013
N2 - We present an approach for extractive, query-focused, single-document summarisation of medical text. Our approach utilises a combination of target-sentence-specific and target-sentence-independent statistics derived from a corpus specialised for summarisation in the medical domain. We incorporate domain knowledge via the application of multiple domain-specific features, and we customise the answer extraction process for different question types. The use of carefully selected domain-specific features enables our summariser to generate content-rich extractive summaries, and an automatic evaluation of our system reveals that it outperforms other baseline and benchmark summarisation systems with a percentile rank of 96.8%.
AB - We present an approach for extractive, query-focused, single-document summarisation of medical text. Our approach utilises a combination of target-sentence-specific and target-sentence-independent statistics derived from a corpus specialised for summarisation in the medical domain. We incorporate domain knowledge via the application of multiple domain-specific features, and we customise the answer extraction process for different question types. The use of carefully selected domain-specific features enables our summariser to generate content-rich extractive summaries, and an automatic evaluation of our system reveals that it outperforms other baseline and benchmark summarisation systems with a percentile rank of 96.8%.
KW - Automatic Text Summarisation
KW - Evidence Based Medicine
KW - Medical Natural Language Processing
KW - Query-focused Summarisation
UR - http://www.scopus.com/inward/record.url?scp=84887297981&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38326-7_41
DO - 10.1007/978-3-642-38326-7_41
M3 - Conference contribution
AN - SCOPUS:84887297981
SN - 9783642383250
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 295
EP - 304
BT - Artificial Intelligence in Medicine - 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Proceedings
PB - Springer Verlag
T2 - 14th Conference on Artificial Intelligence in Medicine, AIME 2013
Y2 - 29 May 2013 through 1 June 2013
ER -