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Mining Word Sense from Large Corpora 田淵史郎 ♥ 鍜治伸裕 ♦ 吉永直樹 ♠ 喜連川優 ♣
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tabuchi, Shiro Nobuhiro |
| Copyright Year | 2009 |
| Abstract | Word Sense Disambiguation (WSD) is the problem that has long been investigated in NLP community. In conventional problem settings of WSD, it is assumed that all senses of polysemous words are identified in advance. This assumption, however, is obviously inappropriate in dealing with large Web corpora. To compensate for this situation, we present a method of discovering word senses from corpora. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://dbsj.org/wp-content/uploads/journal/vol8/no1/dbsj-journal-08-01-077.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |