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In recent years, the natural language processing community has moved away from task-specific feature engineering, i.e., researchers discovering ad-hoc feature representations for various tasks, in favor of general-purpose methods that learn the input representation by themselves.
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Eugene Charniak and Mark Johnson. 2001 · 2001
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Effective use of prosody in parsing conversational speech
Jeremy Kahn, Matthew Lease, Eugene Charniak, Mark Johnson, and Mari Ostendorf. 2005 · 2005
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Kallirroi Georgila. 2009 · 2009
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Cross-domain speech disfluency detection
Kallirroi Georgila, Ning Wang, and Jonathan Gratch. 2010 · 2010
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Broad-coverage parsing using human-like memory constraints
William Schuler, Samir AbdelRahman, Tim Miller, and Lane Schwartz. 2010 · 2010
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The impact of language models and loss functions on repair disfluency detection
Simon Zwarts and Mark Johnson. 2011 · 2011
Cited alongside, same era.
Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio. 2012 · 2012
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A sequential repetition model for improved disfluency detection
Mari Ostendorf and Sangyun Hahn. 2013 · 2013
Cited alongside, same era.
Multi-domain disfluency and repair detection
Victoria Zayats, Mari Ostendorf, and Hannaneh Hajishirzi. 2014 · 2014
Later among the works it cites.
Disfluency detection with a semi-Markov model and prosodic features
James Ferguson, Greg Durrett, and Dan Klein. 2015 · 2015
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Recurrent neural networks for incremental disfluency detection
Julian Hough and David Schlangen. 2015 · 2015
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Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss
Barbara Plank, Andersand Søgaard, and Yoav Goldberg. 2016 · 2016
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Joint transition-based dependency parsing and disfluency detection for automatic speech recognition texts
Masashi Yoshikawa, Hiroyuki Shindo, and Yuji Matsumoto. 2016 · 2016
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Disfluency detection using a bidirectional LSTM
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Disfluency detection using multi-step stacked learning
Xian Qian and Yang Liu. 2013 · 2013
Cited alongside, same era.
Joint parsing and disfluency detection in linear time
Mohammad Sadegh Rasooli and Joel Tetreault. 2013 · 2013
Cited alongside, same era.
Joint incremental disfluency detection and dependency parsing
Matthew Honnibal and Mark Johnson. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Victoria Zayats, Mari Ostendorf, and Hannaneh Hajishirzi. 2016 · 2016
Later among the works it cites.
Disfluency detection using a noisy channel model and a deep neural language model
Paria Jamshid Lou and Mark Johnson. 2017 · 2017
Later among the works it cites.
A general-purpose tagger with convolutional neural networks
Xiang Yu, Agnieszka Falenska, and Ngoc Thang Vu. 2017 · 2017
Later among the works it cites.
Parsing speech: A neural approach to integrating lexical and acoustic-prosodic information
Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, and Mari Ostendorf. 2018 · 2018
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