Using Semantic Classification Trees for WSD
نویسندگان
چکیده
This paper describes the evaluation of a WSD method within SENSEVAL. This method is based on Semantic Classification Trees (SCTs) and short context dependencies between nouns and verbs. The training procedure creates a binary tree for each word to be disambiguated. SCTs are easy to implement and yield some promising results. The integration of linguistic knowledge could lead to substantial improvement.
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ورودعنوان ژورنال:
- Computers and the Humanities
دوره 34 شماره
صفحات -
تاریخ انتشار 2000