Terminological paraphrase extraction from scientific literature based on predicate argument tuples

• Published in: Journal of information science Vol. 38; no. 6; pp. 593 - 611
• Main Authors: Choi, Sung-Pil, Myaeng, Sung-Hyon
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.12.2012; Sage Publications; Bowker-Saur Ltd
• Subjects: Automatic text analysis; Collection; Exact sciences and technology; General aspects; Information and communication sciences; Information retrieval; Information science. Documentation; Jargon; Mathematical models; Scholarly publishing; Science; Sciences and techniques of general use; Semantics; Sentences; Similarity; Studies; Tasks; Terminology; Terms; information extraction; predicate argument tuple; technical terms; paraphrase extraction; terminological paraphrase; Scientific literature; Word; Information extraction
• ISSN: 0165-5515; 1741-6485
• DOI: 10.1177/0165551512459920

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.