Abstract
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%.
| Language | English |
|---|---|
| Title of host publication | Artificial Intelligence in Medicine |
| Subtitle of host publication | 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 – June 1, 2013. Proceedings |
| Editors | Niels Peek, Roque Marín Morales, Mor Peleg |
| Place of Publication | Heidelberg |
| Publisher | Springer, Springer Nature |
| Pages | 295-304 |
| Number of pages | 10 |
| ISBN (Electronic) | 9783642383267 |
| ISBN (Print) | 9783642383250 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 14th Conference on Artificial Intelligence in Medicine, AIME 2013 - Murcia, Spain Duration: 29 May 2013 → 1 Jun 2013 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer Berlin Heidelberg |
| Volume | 7885 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 14th Conference on Artificial Intelligence in Medicine, AIME 2013 |
|---|---|
| Country | Spain |
| City | Murcia |
| Period | 29/05/13 → 1/06/13 |
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An approach for query-focused text summarisation for evidence based medicine. / Sarker, Abeed; Mollá, Diego; Paris, Cécile.
Artificial Intelligence in Medicine: 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 – June 1, 2013. Proceedings. ed. / Niels Peek; Roque Marín Morales; Mor Peleg. Heidelberg : Springer, Springer Nature, 2013. p. 295-304 (Lecture Notes in Computer Science; Vol. 7885).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
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%.
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 proceeding contribution
SN - 9783642383250
T3 - Lecture Notes in Computer Science
SP - 295
EP - 304
BT - Artificial Intelligence in Medicine
A2 - Peek, Niels
A2 - Marín Morales, Roque
A2 - Peleg, Mor
PB - Springer, Springer Nature
CY - Heidelberg
ER -