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Disfluencies is an under-studied topic in NLP, even though it is ubiquitous in human conversation.
SWITCHBOARD: Telephone Speech Corpus for Research and Development
John J Godfrey, Edward C Holliman, and Jane McDaniel. 1992 · 1992
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Preliminaries to a Theory of Speech Disfluencies
Elizabeth Ellen Shriberg. 1994 · 1994
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Disfluencies in Switchboard
Elizabeth Shriberg. 1996 · 1996
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Edit Detection and Parsing for Transcribed Speech
Eugene Charniak and Mark Johnson. 2001 · 2001
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A TAG-based noisy-channel model of speech repairs
Mark Johnson and Eugene Charniak. 2004 · 2004
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An Improved Model for Recognizing Disfluencies in Conversational Speech
Mark Johnson, Eugene Charniak, and Matthew Lease. 2004 · 2004
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Building Effective Question Answering Characters
Anton Leuski, Ronakkumar Patel, David Traum, and Brandon Kennedy. 2006 · 2006
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Design and Performance Analysis of a Factoid Question Answering System for Spontaneous Speech Transcriptions
Mihai Surdeanu, David Dominguez-Sal, and Pere R Comas. 2006 · 2006
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Towards Data Distillation for End-to-end Spoken Conversational Question Answering
Chenyu You, Nuo Chen, Fenglin Liu, Dongchao Yang, and Yuexian Zou. 2020 · 2010
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The Impact of Language Models and Loss Functions on Repair Disfluency Detection
Simon Zwarts and Mark Johnson. 2011 · 2011
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Robustness Testing of Language Understanding in Task-Oriented Dialog
Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Hongguang Li, Weiran Nie, Cheng Li, Wei Peng, and Minlie Huang. 2020 · 2012
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RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, and Jianfeng Gao. 2020 · 2012
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Joint Incremental Disfluency Detection and Dependency Parsing
Matthew Honnibal and Mark Johnson. 2014 · 2014
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Multi-domain disfluency and repair detection
Vicky Zayats, Mari Ostendorf, and Hannaneh Hajishirzi. 2014 · 2014
Cited alongside, same era.
Disfluency Detection with a Semi-Markov Model and Prosodic Features
James Ferguson, Greg Durrett, and Dan Klein. 2015 · 2015
Cited alongside, same era.
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Disfluency Detection Using a Bidirectional LSTM
Vicky Zayats, Mari Ostendorf, and Hannaneh Hajishirzi. 2016 · 2016
Cited alongside, same era.
Discourse Markers and (Dis)fluency in English and French: Variation and Combination in the DisFrEn Corpus
Ludivine Crible. 2017 · 2017
Cited alongside, same era.
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model
Paria Jamshid Lou and Mark Johnson. 2017 · 2017
Did the Model Understand the Question?
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, and Kedar Dhamdhere. 2018 · 2018
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Know What You Don’t Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
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Semantically Equivalent Adversarial Rules for Debugging NLP models
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2018 · 2018
Later among the works it cites.
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua, and Sameer Singh. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Mitigating Noisy Inputs for Question Answering
Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, and Jordan Boyd-Graber. 2019 · 2019
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Cited alongside, same era.
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia and Percy Liang. 2017 · 2017
Cited alongside, same era.
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model
Paria Jamshid Lou and Mark Johnson. 2017 · 2017
Cited alongside, same era.
Profiling fluency: An Analysis of Individual Variation in Disfluencies in Adult Males
Kirsty McDougall and Martin Duckworth. 2017 · 2017
Cited alongside, same era.
Transition-Based Disfluency Detection using LSTMs
Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang, and Ting Liu. 2017 · 2017
Cited alongside, same era.
Disfluency Detection using Auto-Correlational Neural Networks
Paria Jamshid Lou, Peter Anderson, and Mark Johnson. 2018 · 2018
Cited alongside, same era.
Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension
Chia-Hsuan Li, Szu-Lin Wu, Chi-Liang Liu, and Hung yi Lee. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection”
Vicky Zayats and Mari Ostendorf. 2019 · 2019
Later among the works it cites.
Disfluencies and Human Speech Transcription Errors
Victoria Zayats, Trang Tran, Richard A. Wright, Courtney Mansfield, and Mari Ostendorf. 2019 · 2019
Later among the works it cites.
Improving Disfluency Detection by Self-Training a Self-Attentive Model
Paria Jamshid Lou and Mark Johnson. 2020 · 2020
Later among the works it cites.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
Later among the works it cites.
Multi-Task Self-Supervised Learning for Disfluency Detection
Shaolei Wang, Wangxiang Che, Qi Liu, Pengda Qin, Ting Liu, and William Yang Wang. 2020 · 2020
Later among the works it cites.
Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection
Jingfeng Yang, Diyi Yang, and Zhaoran Ma. 2020 · 2020
Later among the works it cites.
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard Hovy, and Alan W Black. 2021 · 2021
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