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Related Questions
- Can contextual clues help disambiguate words with multiple meanings?
- How do linguistic features, such as part-of-speech and syntax, contribute to word sense disambiguation?
- What role do semantic relationships, like synonymy and antonymy, play in disambiguating word senses?
- Can machine learning algorithms, like supervised and unsupervised learning, improve word sense disambiguation accuracy?
- How do contextual clues, such as word co-occurrence and collocation, influence word sense disambiguation?
- Can word sense disambiguation be improved by incorporating external knowledge, like ontologies and lexical resources?
- What are the challenges in evaluating the accuracy of word sense disambiguation systems, and how can they be addressed?
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