Lexical patterns or dependency patterns: which is better for hypernym extraction?
| Authors |
|
|---|---|
| Publication date | 2009 |
| Host editors |
|
| Book title | Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009) |
| Book subtitle | June 4-5, 2009, Boulder, Colorado |
| ISBN |
|
| Event | 13th Conference on Computational Natural Language Learning (CoNLL-2009), Boulder, CO, USA |
| Pages (from-to) | 174-182 |
| Publisher | Stroudsburg, PA: Association for Computational Linguistics |
| Organisations |
|
| Abstract |
We compare two different types of extraction patterns for automatically deriving semantic information from text: lexical patterns, built from words and word class information, and dependency patterns with syntactic information obtained from a full parser. We are particularly interested in whether the richer linguistic information provided by a parser allows for a better performance of subsequent information extraction work. We evaluate automatic extraction of hypernym information from text and conclude that the application of dependency patterns does not lead to substantially higher precision and recall scores than using lexical patterns.
|
| Document type | Conference contribution |
| Language | English |
| Published at | http://portal.acm.org/citation.cfm?id=1596374.1596402 https://aclweb.org/anthology/W09-1122/ |
| Downloads |
320572.pdf
(Final published version)
|
| Permalink to this page | |