Induction of Semantic Classes Based on Coordinate Patterns

Many NLP and IR applications require semantic classification knowledge of words. However, manually constructing semantic classes is a time-consuming and labor-intensive task. In this paper, we present an algorithm for induction of Chinese semantic classes from natural language text based on coordina...

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Hauptverfasser:	Qiu, Likun, Wu, Yunfang, Shi, Jing, Shao, Yanqiu, Long, Zhiyi
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	bottom-up clustering Computing methodologies > Artificial intelligence > Knowledge representation and reasoning Computing methodologies > Artificial intelligence > Natural language processing Computing methodologies > Machine learning > Learning paradigms > Supervised learning > Supervised learning by classification Computing methodologies > Machine learning > Machine learning approaches > Classification and regression trees coordinate structure language resource semantic class Theory of computation > Logic
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