Difference between revisions of "Extracting Lexical Reference Rules from Wikipedia"
(Overview - Extracting Lexical Reference Rules from Wikipedia) |
(Wikilinks) |
||
| Line 1: | Line 1: | ||
| − | '''Extracting Lexical Reference Rules from Wikipedia''' - scientific work related to Wikipedia quality published in 2009, written by Eyal Shnarch, Libby Barak and Ido Dagan. | + | '''Extracting Lexical Reference Rules from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Eyal Shnarch]], [[Libby Barak]] and [[Ido Dagan]]. |
== Overview == | == Overview == | ||
| − | This paper describes the extraction from Wikipedia of lexical reference rules, identifying references to term meanings triggered by other terms. Authors present extraction methods geared to cover the broad range of the lexical reference relation and analyze them extensively. Most extraction methods yield high precision levels, and rule-base is shown to perform better than other automatically constructed baselines in a couple of lexical expansion and matching tasks. Authors rule-base yields comparable performance to Word-Net while providing largely complementary information. | + | This paper describes the extraction from [[Wikipedia]] of lexical reference rules, identifying references to term meanings triggered by other terms. Authors present extraction methods geared to cover the broad range of the lexical reference relation and analyze them extensively. Most extraction methods yield high precision levels, and rule-base is shown to perform better than other automatically constructed baselines in a couple of lexical expansion and matching tasks. Authors rule-base yields comparable performance to Word-Net while providing largely complementary information. |
Revision as of 10:28, 26 November 2019
Extracting Lexical Reference Rules from Wikipedia - scientific work related to Wikipedia quality published in 2009, written by Eyal Shnarch, Libby Barak and Ido Dagan.
Overview
This paper describes the extraction from Wikipedia of lexical reference rules, identifying references to term meanings triggered by other terms. Authors present extraction methods geared to cover the broad range of the lexical reference relation and analyze them extensively. Most extraction methods yield high precision levels, and rule-base is shown to perform better than other automatically constructed baselines in a couple of lexical expansion and matching tasks. Authors rule-base yields comparable performance to Word-Net while providing largely complementary information.
