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Identification of event mentions and their semantic class

By Steven Bethard


Complex tasks like question answering need to be able to identify events in text and the relations among those events. We show that this event identification task and a related task, identifying the semantic class of these events, can both be formulated as classification problems in a word-chunking paradigm. We introduce a variety of linguistically motivated features for this task and then train a system that is able to identify events with a precision of 82 % and a recall of 71%. We then show a variety of analyses of this model, and their implications for the event identification task.

Year: 2006
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