RBPB: Regularization-Based Pattern Balancing Method for Event Extraction
Published 1 January 2016Open access
Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui
Citations49
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TL;DR
Inspired by the progress in representation learning, trigger embedding, sentence-level embedding and pattern features together as their features for trigger classification are used so that the effect of patterns and other useful features can be balanced.
Abstract
Event extraction is a particularly challenging information extraction task, which intends to identify and classify event triggers and arguments from raw text. In recent works, when determining event types (trigger classification), most of the works are either pattern-only or feature-only.
Keywords
Computer Science
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