ICE: idiom and Collocation Extractor for Research and Education

• Autores: Vasanthi Vuppuluri, Shahryar Baki, An Nguyen, Rakesh Verma
• Localización: 15th Conference of the European Chapter of the Association for Computational Linguistics: Proceedings of the Software Demonstrations : April 3-7, 2017 Valencia, Spain / Anselmo Peñas Padilla (ed. lit.), André Martins Brandão (ed. lit.), 2017, ISBN 978-1-945626-36-4, págs. 108-111
• Idioma: inglés
• Enlaces
  • Texto Completo Libro (pdf)
• Resumen

  • 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