Name
Title | ||
|---|---|---|
The estimate method of the omission of Japanese inquiry texts using an LDA algorithm. |
Abstract | ||
|---|---|---|
Inquiries through web forms and emails are becoming increasingly common. These inquiry texts usually include many informal expressions, using a colloquial style more akin to spoken language, with words omitted, causing the meaning of sentences to become ambiguous and sometimes misunderstood. In this paper, we focus on the frequently omitted noun 'B' in the noun phrase 'A NO B' usually meaning B of A seen in colloquial style inquiry text and propose a method to predict the omitted noun 'B' from the context and knowledge using topic information. From the results of an evaluation experiment, we confirm that our method improved the prediction accuracy by 11.34% compared to the conventional method and predicted the omitted word with an accuracy of more than 75% using latent Dirichlet allocation LDA. Note: In this paper, italic fonts are used to express Japanese pronunciation. e.g., 'NO' expresses the pronunciation of the Japanese connective particle 'NO'. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1504/IJCAT.2015.071980 | IJCAT |
Keywords | Field | DocType |
colloquial expressions, omissions, topic information, LDA, latent Dirichlet allocation | Pronunciation,Noun phrase,Latent Dirichlet allocation,Expression (mathematics),Computer science,Noun,Natural language processing,Artificial intelligence,Linear discriminant analysis,Spoken language | Journal |
Volume | Issue | ISSN |
52 | 2/3 | 0952-8091 |
Citations | PageRank | References |
1 | 0.43 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomohiko Harada | 1 | 1 | 1.45 |
| Kazuhiko Tsuda | 2 | 108 | 47.18 |
| Nobuo Suzuki | 3 | 10 | 5.71 |
| Yoshikatsu Fujita | 4 | 1 | 0.43 |