emnlp emnlp2013 emnlp2013-116 emnlp2013-116-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Mohammad Sadegh Rasooli ; Joel Tetreault
Abstract: We introduce a novel method to jointly parse and detect disfluencies in spoken utterances. Our model can use arbitrary features for parsing sentences and adapt itself with out-ofdomain data. We show that our method, based on transition-based parsing, performs at a high level of accuracy for both the parsing and disfluency detection tasks. Additionally, our method is the fastest for the joint task, running in linear time.
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