In this article we describe our approaches and the results to the Term Recognition (TMREC) task in the first NTCIR Workshop on Research in Japanese Text. Retrieval and Term Recognition, held 30 August-1 September 1999. Our first approach aims to collect words that appear distinctively in documents of the target domain through statistical method. Our second approach aims to collect terms that have a particular inner structure by applying several diagnostic tests using the collocational information in the corpus. Section 1 describes the outline of the term recognition task. Section 2 briefly describes the two approaches, details of which are described in Sections 3 and 4. In Section 6, we offer a short discussion based on the comparison between the candidates.
2018. Automatic domain terminology extraction and its evaluation for domain knowledge graph construction. Web Intelligence 16:3 ► pp. 173 ff.
Luo, Zhiwei, Haoyuan Wang & Rong Xie
2017. 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(, ► pp. 53 ff.
Chung, Teresa Mihwa & Paul Nation
2004. Identifying technical vocabulary. System 32:2 ► pp. 251 ff.
Hisamitsu, Toru & Jun-ichi Tsujii
2003. Measuring Term Representativeness. In Information Extraction in the Web Era [Lecture Notes in Computer Science, 2700], ► pp. 45 ff.
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