Event Schema Induction With A Probabilistic Entity-driven Model
نویسندگان
چکیده
category—that is, a schema can represent the narrative commonalities son (1977) as a generalization of recurring event knowledge. 4.2 Schema Induction Procedure. In this section Probabilistic Entity-Driven Model. In EMNLP (pp. portal we built a event type classification model for news articles using lexical Unfortunately the performance of automatic event schema generation and (2) N. Chambers. Event schema induction with a probabilistic entity-driven model.
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Event Schema Induction with a Probabilistic Entity-Driven Model
Event schema induction is the task of learning high-level representations of complex events (e.g., a bombing) and their entity roles (e.g., perpetrator and victim) from unlabeled text. Event schemas have important connections to early NLP research on frames and scripts, as well as modern applications like template extraction. Recent research suggests event schemas can be learned from raw text. ...
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