Difference between revisions of "Classifying Taxonomic Relations Between Pairs of Wikipedia Articles"
(Classifying Taxonomic Relations Between Pairs of Wikipedia Articles - creating a new article) |
(+ links) |
||
| Line 1: | Line 1: | ||
| − | '''Classifying Taxonomic Relations Between Pairs of Wikipedia Articles''' - scientific work related to Wikipedia quality published in 2013, written by Or Biran and Kathleen R. McKeown. | + | '''Classifying Taxonomic Relations Between Pairs of Wikipedia Articles''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Or Biran]] and [[Kathleen R. McKeown]]. |
== Overview == | == Overview == | ||
| − | Natural language generation systems rely on taxonomic thesauri for tasks such as lexical choice and aggregation. WordNet is one such taxonomy, but it is limited in size. Motivated by the needs of a generation system in the scientific literature domain, authors present a method for building a taxonomic thesaurus from Wikipedia articles, where each article represents a potential concept in the taxonomy. Authors propose framing the problem of creating a taxonomy as a classification task of the potential relations between individual Wikipedia article pairs, and show that a supervised algorithm can achieve high precision in this task with very little training data. | + | Natural language generation systems rely on taxonomic thesauri for tasks such as lexical choice and aggregation. [[WordNet]] is one such taxonomy, but it is limited in size. Motivated by the needs of a generation system in the scientific literature domain, authors present a method for building a taxonomic thesaurus from [[Wikipedia]] articles, where each article represents a potential concept in the taxonomy. Authors propose framing the problem of creating a taxonomy as a classification task of the potential relations between individual Wikipedia article pairs, and show that a supervised algorithm can achieve high precision in this task with very little training data. |
Revision as of 07:45, 15 October 2019
Classifying Taxonomic Relations Between Pairs of Wikipedia Articles - scientific work related to Wikipedia quality published in 2013, written by Or Biran and Kathleen R. McKeown.
Overview
Natural language generation systems rely on taxonomic thesauri for tasks such as lexical choice and aggregation. WordNet is one such taxonomy, but it is limited in size. Motivated by the needs of a generation system in the scientific literature domain, authors present a method for building a taxonomic thesaurus from Wikipedia articles, where each article represents a potential concept in the taxonomy. Authors propose framing the problem of creating a taxonomy as a classification task of the potential relations between individual Wikipedia article pairs, and show that a supervised algorithm can achieve high precision in this task with very little training data.
