Verbal Semantic Classes Using Hierarchical Sample Clauses

Verbal Semantic Classes Using Hierarchical. Verb Clustering Verbal semantic classes are the most studied of lexical-semantic classes, with a key resource being (Xxxxx, 1993). Lexical-semantic classes for verbs are usually defined by their argument and alternation patterns, which generally correspond to meaning classes. For example, MANNER OF MOTION verbs, such as travel, run, and walk, not only share the meaning of ‘manner of motion’, but also behave similarly in texts, e.g. they appear in similar syntactic frames, such as I travelled/ran/walked, I travelled/ran/walked to London, and I travelled/ran/walked five miles. Lexical classes can be identified across the entire lexicon (e.g. CHANGE OF STATE , MANNER OF SPEAKING , SENDING , REMOVING , LEARNING , BUILDING and PSYCHOLOGICAL verbs, among many others) and they may also apply across languages. UCAM has focused partly on verbal semantic classes. Most previous research on verb clustering has focused on acquiring flat classifications from corpus data, although many manually built classifications are taxonomic in nature. NLP applications can also benefit from taxonomic classifications because they vary in terms of the granularity they require from a classification.
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