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http://dx.doi.org/10.3743/KOSIM.2011.28.1.089

A Study on the Integration of Recognition Technology for Scientific Core Entities  

Choi, Yun-Soo (한국과학기술정보연구원 정보기술연구실)
Jeong, Chang-Hoo (한국과학기술정보연구원 정보기술연구실)
Cho, Hyun-Yang (경기대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.28, no.1, 2011 , pp. 89-104 More about this Journal
Abstract
Large-scaled information extraction plays an important role in advanced information retrieval as well as question answering and summarization. Information extraction can be defined as a process of converting unstructured documents into formalized, tabular information, which consists of named-entity recognition, terminology extraction, coreference resolution and relation extraction. Since all the elementary technologies have been studied independently so far, it is not trivial to integrate all the necessary processes of information extraction due to the diversity of their input/output formation approaches and operating environments. As a result, it is difficult to handle scientific documents to extract both named-entities and technical terms at once. In order to extract these entities automatically from scientific documents at once, we developed a framework for scientific core entity extraction which embraces all the pivotal language processors, named-entity recognizer and terminology extractor.
Keywords
information extraction; named entity recognition; terminology extraction;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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