Difference between revisions of "Hypernym Extraction from Wikipedia and Wiktionary"
(Links) |
(infobox) |
||
Line 1: | Line 1: | ||
+ | {{Infobox work | ||
+ | | title = Hypernym Extraction from Wikipedia and Wiktionary | ||
+ | | date = 2017 | ||
+ | | authors = [[Emre Sasmaz]]<br />[[Razieh Ehsani]]<br />[[Olcay Taner Yildiz]] | ||
+ | | doi = 10.1109/SIU.2017.7960712 | ||
+ | | link = | ||
+ | }} | ||
'''Hypernym Extraction from Wikipedia and Wiktionary''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Emre Sasmaz]], [[Razieh Ehsani]] and [[Olcay Taner Yildiz]]. | '''Hypernym Extraction from Wikipedia and Wiktionary''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Emre Sasmaz]], [[Razieh Ehsani]] and [[Olcay Taner Yildiz]]. | ||
== Overview == | == Overview == | ||
Large scale dictionaries such as wordnets are one of the important structures used in [[natural language processing]]. Wordnet is a comprehensive dictionary containing semantic relations including synonyms, antonyms, etc. In this paper, authors try to extract Hypernym-Hyponym relations which are one of the main parts of [[WordNet]]. For this aim, authors used [[Wikipedia]], Contemporary Dictionary of Turkish and Wiktionary as corpora. Authors used Finite State Machines for developing several rules for Hypernym-Hyponym extraction. | Large scale dictionaries such as wordnets are one of the important structures used in [[natural language processing]]. Wordnet is a comprehensive dictionary containing semantic relations including synonyms, antonyms, etc. In this paper, authors try to extract Hypernym-Hyponym relations which are one of the main parts of [[WordNet]]. For this aim, authors used [[Wikipedia]], Contemporary Dictionary of Turkish and Wiktionary as corpora. Authors used Finite State Machines for developing several rules for Hypernym-Hyponym extraction. |
Revision as of 09:26, 29 September 2020
Authors | Emre Sasmaz Razieh Ehsani Olcay Taner Yildiz |
---|---|
Publication date | 2017 |
DOI | 10.1109/SIU.2017.7960712 |
Links |
Hypernym Extraction from Wikipedia and Wiktionary - scientific work related to Wikipedia quality published in 2017, written by Emre Sasmaz, Razieh Ehsani and Olcay Taner Yildiz.
Overview
Large scale dictionaries such as wordnets are one of the important structures used in natural language processing. Wordnet is a comprehensive dictionary containing semantic relations including synonyms, antonyms, etc. In this paper, authors try to extract Hypernym-Hyponym relations which are one of the main parts of WordNet. For this aim, authors used Wikipedia, Contemporary Dictionary of Turkish and Wiktionary as corpora. Authors used Finite State Machines for developing several rules for Hypernym-Hyponym extraction.