A Practical Partial Parser for Biomedical Literature Summarization

Yasunori Yamamoto, Toshihisa Takagi

2004

Abstract

We present a partial parser called TeLePaPa (TextLens Partial Parser) to identify subjects and predicate verbs (SPVs) in a sentence of abstracts of MEDLINE citations. The performance of TeLePaPa is the precision of 96.7% and 97.1% for the SPV detection, respectively, and the recall of 91.3% and 94.9%, respectively. We found that there was a similarity in the distribution of the pairs of SPV over different research topics in the domain. In addition, we found that the power law holds for the relationship of the number of citations uncovered by SPV pairs and its rank. That is, only a half of the pairs covered about 90% of all the citations. This fact enables us to efficiently scan the huge amount of biomedical literature.

Paper Citation

in Harvard Style

Yamamoto Y. and Takagi T. (2004). A Practical Partial Parser for Biomedical Literature Summarization . In Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004) ISBN 972-8865-05-8, pages 75-85. DOI: 10.5220/0002678700750085

in Bibtex Style

@conference{nlucs04,
author={Yasunori Yamamoto and Toshihisa Takagi},
title={A Practical Partial Parser for Biomedical Literature Summarization},
booktitle={Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004)},
year={2004},
pages={75-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002678700750085},
isbn={972-8865-05-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004)
TI - A Practical Partial Parser for Biomedical Literature Summarization
SN - 972-8865-05-8
AU - Yamamoto Y.
AU - Takagi T.
PY - 2004
SP - 75
EP - 85
DO - 10.5220/0002678700750085