SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation.
Simone PapandreaAlessandro RaganatoClaudio Delli BoviPublished in: EMNLP (System Demonstrations) (2017)
Keyphrases
- word sense disambiguation
- wordnet
- supervised methods
- natural language processing
- semantic relatedness
- machine translation
- feature generation
- wide coverage
- lexical knowledge
- information extraction
- semi supervised
- unsupervised learning
- highly ambiguous
- linguistic knowledge
- learning algorithm
- part of speech
- word sense
- sense disambiguation
- feature selection
- machine learning methods
- data mining
- lexical information
- unsupervised word sense disambiguation
- co occurrence
- supervised learning
- pairwise
- expert systems
- high level
- metadata
- machine learning