WordPiece
Language Models and Natural Language Processing
The process of identifying which meaning of a word is used in a particular context.
Detailed Explanation
Word Sense Disambiguation (WSD) is a technique in natural language processing that determines the correct meaning of a word based on its surrounding context. Since many words have multiple meanings, WSD enables machines to accurately interpret and analyze text, enhancing tasks like translation, information retrieval, and sentiment analysis by resolving ambiguities in language.
Use Cases
- •Improving machine translation accuracy by correctly identifying word meanings in context.
Related Terms
Other terms in the Language Models and Natural Language Processing category