Recent advances in automatic term recognition
Experiences from the NTCIR workshop on information retrieval and term recognition
Bibliographic Data
| ID | 20395278 |
|---|---|
| Authors | Kyo Kageura (0000-0003-1575-8837), Masaharu Yoshioka (0000-0002-2096-1218), Koichi Takeuchi (0009-0000-4926-0661), Teruo Koyama, Keita Tsuji (0000-0002-3748-6652), Fuyuki Yoshikane |
| Year | 2000 |
| Volume | 6 |
| Issue | 2 |
| Pages | 151-173 |
| Publication date | 2000-12-31 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Terminology International Journal of Theoretical and Applied Issues in Specialized Communication (JOURNAL) |
| Journal identifiers | ISSN: 0929-9971 • E-ISSN: 1569-9994 |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/term.6.2.03kag |
| OpenAlex | W2073740700 |
| Language | EN |
| Citations received | 1 |
This article provides basic background information on the articles included in this special issue on Japanese term extraction, by (i) clarifying the basic background of research into automatic term recognition, (ii) explaining briefly the ‘contest’-style workshop we organised in 1999, and (iii) briefly summarising the ATR methodologies proposed in the articles, and positioning their ideas, philosophies and methodologies within ATR from a unified perspective. Through this information, we intend to consolidate the contributions of the NTCIR TMREC workshop, and, hopefully, clarify a basic framework for discussion which different researchers can use to constructively communicate with each other about automatic term extraction and beyond
Cognitive science · CONTEST · Data science · Information retrieval · Natural language processing · Political science · Biomedical Text Mining and Ontologies · Computer Science · Natural Language Processing Techniques · Psychology · Semantic Web and Ontologies · Artificial Intelligence
| Citations per year | 0.08 |
|---|---|
| Citation span | 2014 - 2014 (1) |
| Highly cited | No |