Hypernym Extraction From Wikipedia and Wiktionary
| Autor: | Razieh Ehsani, Olcay Taner Yildiz, Emre Sasmaz |
|---|---|
| Přispěvatelé: | Bölüm Yok, [Sasmaz, Emre -- Ehsani, Razieh -- Yildiz, Olcay Taner] Isik Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey |
| Jazyk: | turečtina |
| Rok vydání: | 2017 |
| Předmět: |
Information retrieval
Synonym Turkish business.industry Computer science WordNet Ontology (information science) Semantic relation Semantics computer.software_genre language.human_language Hypernym-Hyponym language Encyclopedia Artificial intelligence business computer Natural language processing Natural Language Processing |
| Zdroj: | SIU |
| Popis: | 25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY WOS: 000413813100575 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, we try to extract Hypernym-Hyponym relations which are one of the main parts of WordNet. For this aim, we used Wikipedia, Contemporary Dictionary of Turkish and Wiktionary as corpora. We used Finite State Machines for developing several rules for Hypernym-Hyponym extraction. Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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