Concept information
Preferred term
semantic category
Broader concept
Example
- Because named entities can be related to Wikipedia categories this information is used to train a support vector machine classifier for assigning semantic categories to hashtags. (Stilo & Velardi, 2017)
- For each of the two nouns in each NN compound we maintain a semantic category vector of 26 elements. (Mishra & Bangalore, 2011)
- Given the initial positive seeds and negative seeds the goal of our method is to extract instances of a specific target semantic category. (Shi, Zhang, Sun & Han, 2014)
- The semantic categories we thus obtained are more specific compared to the general constraint(animate or inanimate) encoded in WordNet frame representation. (Jing & McKeown, 1998)
- We also adopt a set of semantic categories to generate patterns which were manually identified in Teufel (1999). (Chang, Hsu, Boisson, Peng, Wu & Chang, 2015)
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/8LP-NZ7B12NR-0
{{label}}
{{#each values }} {{! loop through ConceptPropertyValue objects }}
{{#if prefLabel }}
{{/if}}
{{/each}}
{{#if notation }}{{ notation }} {{/if}}{{ prefLabel }}
{{#ifDifferentLabelLang lang }} ({{ lang }}){{/ifDifferentLabelLang}}
{{#if vocabName }}
{{ vocabName }}
{{/if}}