Finding the Best Name for a Set of Words Automatically

RYCHLÝ, Pavel. Finding the Best Name for a Set of Words Automatically. In Eighth Workshop on Recent Advances in Slavonic Natural Language Processing. Brno: Tribun EU, 2014, p. 77-81. ISSN 2336-4289.

Basic information

• Original name: Finding the Best Name for a Set of Words Automatically
• Authors: RYCHLÝ, Pavel (203 Czech Republic, guarantor, belonging to the institution).
• Edition: Brno, Eighth Workshop on Recent Advances in Slavonic Natural Language Processing, p. 77-81, 5 pp. 2014.
• Publisher: Tribun EU

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• WWW: URL
• RIV identification code: RIV/00216224:14330/14:00077515
• Organization unit: Faculty of Informatics
• ISSN: 2336-4289
• Keywords in English: names of word sets; naming clusters; distributional thesaurus
• Tags: International impact, Reviewed

Abstract

Many natural language processing applications use clustering or other statistical methods to create sets of words. Such sets group together words with similar meaning and in many cases humans can find an appropriate term quickly. On the other hand computers represent such sets with a meaningless number or ID. This paper proposes an algorithm for automatic finding of names of word sets. It provides result examples as a simple evaluation of the method.

Links

• LM2010013, research and development project: Name: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat (Acronym: LINDAT-Clarin)

Investor: Ministry of Education, Youth and Sports of the CR

• 7F14047, research and development project: Name: Harvesting big text data for under-resourced languages (Acronym: HaBiT)

Investor: Ministry of Education, Youth and Sports of the CR