ICE: Idiom and Collocation Extractor for Research and Education
| Autor: | An Nguyen, Rakesh M. Verma, Vasanthi Vuppuluri, Shahryar Baki |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry 02 engineering and technology Python (programming language) computer.software_genre Extractor 03 medical and health sciences 0302 clinical medicine 030221 ophthalmology & optometry 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Software system Artificial intelligence business computer Natural language processing computer.programming_language |
| Zdroj: | EACL (Software Demonstrations) Scopus-Elsevier |
| DOI: | 10.18653/v1/e17-3027 |
| Popis: | Collocation and idiom extraction are well-known challenges with many potential applications in Natural Language Processing (NLP). Our experimental, open-source software system, called ICE, is a python package for flexibly extracting collocations and idioms, currently in English. It also has a competitive POS tagger that can be used alone or as part of collocation/idiom extraction. ICE is available free of cost for research and educational uses in two user-friendly formats. This paper gives an overview of ICE and its perfor- mance, and briefly describes the research underlying the extraction algorithms |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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