Difference between revisions of "Automatic Compilation of Language Resources for Named Entity Recognition in Turkish by Utilizing Wikipedia Article Titles"
(Information about: Automatic Compilation of Language Resources for Named Entity Recognition in Turkish by Utilizing Wikipedia Article Titles) |
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| − | '''Automatic Compilation of Language Resources for Named Entity Recognition in Turkish by Utilizing Wikipedia Article Titles''' - scientific work related to Wikipedia quality published in 2015, written by Dilek Küçük. | + | '''Automatic Compilation of Language Resources for Named Entity Recognition in Turkish by Utilizing Wikipedia Article Titles''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Dilek Küçük]]. |
== Overview == | == Overview == | ||
| − | Abstract Authors present an automatic approach to compile language resources for named entity recognition (NER) in Turkish by utilizing Wikipedia article titles. First, a subset of the article titles is annotated with the basic named entity types. This subset is then utilized as training data to automatically classify the remaining titles by employing the k-nearest neighbor algorithm, leading to the construction of a significant lexical resource set for Turkish NER. Experiments on different text genres are conducted after extending an existing NER system with the resources and the results obtained confirm that the resources contribute to NER on different genres. | + | Abstract Authors present an automatic approach to compile language resources for [[named entity recognition]] (NER) in Turkish by utilizing [[Wikipedia]] article titles. First, a subset of the article titles is annotated with the basic [[named entity]] types. This subset is then utilized as training data to automatically classify the remaining titles by employing the k-nearest neighbor algorithm, leading to the construction of a significant lexical resource set for Turkish NER. Experiments on different text genres are conducted after extending an existing NER system with the resources and the results obtained confirm that the resources contribute to NER on different genres. |
Revision as of 11:06, 11 June 2019
Automatic Compilation of Language Resources for Named Entity Recognition in Turkish by Utilizing Wikipedia Article Titles - scientific work related to Wikipedia quality published in 2015, written by Dilek Küçük.
Overview
Abstract Authors present an automatic approach to compile language resources for named entity recognition (NER) in Turkish by utilizing Wikipedia article titles. First, a subset of the article titles is annotated with the basic named entity types. This subset is then utilized as training data to automatically classify the remaining titles by employing the k-nearest neighbor algorithm, leading to the construction of a significant lexical resource set for Turkish NER. Experiments on different text genres are conducted after extending an existing NER system with the resources and the results obtained confirm that the resources contribute to NER on different genres.
