An Improved Automated Definition Extraction Method Based on Lexicographic and Lexico-Semantic Features
| Autor: | Alejandro Pimentel, Claudio Molina, Gerardo Sierra |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry Feature extraction 02 engineering and technology Lexicographical order computer.software_genre Semantics Lexicography Identification (information) 0202 electrical engineering electronic engineering information engineering Task analysis 020201 artificial intelligence & image processing Extraction methods Lexico Artificial intelligence business computer Natural language processing computer.programming_language |
| Zdroj: | MICAI (Special Session) |
| Popis: | This paper shows that results obtained from extracting definitions in computational lexicography, often have a high recall but a low precision. Herein, we present an improved, automated, rule-based analytical definitions extraction method that uses hypernym identification. This kind of definitions allow us to improve the stateof-the-art precision reported in definitions extracting. Furthermore, this method incorporates a hypernyms extraction module, which has proven to be a necessary first step for generating automated definitions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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