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Skip to Search Results- 2Computational Linguistics
- 2Lexical Semantics
- 2Natural Language Processing
- 1Artificial Intelligence
- 1Inflection
- 1Machine Translation
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Fall 2020
Word sense disambiguation (WSD) is one of the core tasks in natural language processing and its objective is to identify the sense of a content word (nouns, verbs, adjectives, and adverbs) in context, given a predefined sense inventory. Although WSD is a monolingual task, it has been conjectured...
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Fall 2017
Inflectional morphology presents numerous problems for traditional computational models, not least of which is an increase in the number of rare types in any corpus. Although few annotated corpora exist for morphologically complex languages, it is possible for lay-speakers of the language to...
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Fall 2020
Distinguishing between homonymy and polysemy can facilitate Word Sense Disambiguation (WSD), as WSD systems use the standard sense inventories that are excessively fine-grained and include many polysemous senses. We classify words as either homonymous or polysemous by building graphs of word...