| Presentation | 2015-02-05 Class-Instance Acquisition using Automatically Extracted Hyponymy Relations Ichiro YAMADA, Taro MIYAZAKI, Masaru MIYAZAKI, Kikuka MIURA, Atsushi MATSUI, Hideki TANAKA, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Class-instance relation is useful for information extraction from large volume of text. For example, we can determine which medicine is effective for a sickness by co-occurrence information of instances of medicine and sickness. It is possible to acquire instances of a class from a legacy thesaurus but sufficient amount of instance is not registered in such extracted from Wikipedia and contain some error relations. We can acquire a large volume of instances with higher accuracy by using two kinds of noise reduction approaches. We report a semantic relation acquisition using automatically extracted class-instance relations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Class-instance acquisition / hyponymy relation / semantic relation of words |
| Paper # | NLC2014-44 |
| Date of Issue |
| Conference Information | |
| Committee | NLC |
|---|---|
| Conference Date | 2015/1/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Class-Instance Acquisition using Automatically Extracted Hyponymy Relations |
| Sub Title (in English) | |
| Keyword(1) | Class-instance acquisition |
| Keyword(2) | hyponymy relation |
| Keyword(3) | semantic relation of words |
| 1st Author's Name | Ichiro YAMADA |
| 1st Author's Affiliation | Science and Technology Research Laboratories, Japan Broadcasting Corporation() |
| 2nd Author's Name | Taro MIYAZAKI |
| 2nd Author's Affiliation | Science and Technology Research Laboratories, Japan Broadcasting Corporation |
| 3rd Author's Name | Masaru MIYAZAKI |
| 3rd Author's Affiliation | Science and Technology Research Laboratories, Japan Broadcasting Corporation |
| 4th Author's Name | Kikuka MIURA |
| 4th Author's Affiliation | Science and Technology Research Laboratories, Japan Broadcasting Corporation |
| 5th Author's Name | Atsushi MATSUI |
| 5th Author's Affiliation | Science and Technology Research Laboratories, Japan Broadcasting Corporation |
| 6th Author's Name | Hideki TANAKA |
| 6th Author's Affiliation | Science and Technology Research Laboratories, Japan Broadcasting Corporation |
| Date | 2015-02-05 |
| Paper # | NLC2014-44 |
| Volume (vol) | vol.114 |
| Number (no) | 444 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |