Terminological paraphrase extraction from scientific literature based on predicate argument tuples

被引:4
|
作者
Choi, Sung-Pil [2 ]
Myaeng, Sung-Hyon [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Div Web Sci & Technol, Taejon 305701, South Korea
[2] Korea Inst Sci & Technol Informat, Dept Software Res, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
information extraction; paraphrase extraction; predicate argument tuple; technical terms; terminological paraphrase; TEXTUAL ENTAILMENT; QUERY EXPANSION; RETRIEVAL; IMPACT;
D O I
10.1177/0165551512459920
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Terminological paraphrases (TPs) are sentences or phrases that express the concepts of terminologies in a different form. Here we propose an effective way to identify and extract TPs from large-scale scientific literature databases. We propose a novel method for effectively retrieving sentences that contain a given terminological concept based on semantic units called predicate-argument tuples. This method enables effective textual similarity computations and minimized errors based on six TP ranking models. For evaluation, we constructed an evaluation collection for the TP recognition task by extracting TPs from a target literature database using the proposed method. Through the two experiments, we learned that scientific literature contain many TPs that could not have been identified so far. Also, the experimental results showed the potential and extensibility of our proposed methods to extract the TPs.
引用
收藏
页码:593 / 611
页数:19
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