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Joint Parsing and Disfluency Detection in Linear Time
Mohammad Sadegh Rasooli
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Joel Tetreault
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
A Neural Attention Model for Disfluency Detection
Shaolei Wang
|
Wanxiang Che
|
Ting Liu
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Transition-Based Disfluency Detection using LSTMs
Shaolei Wang
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Wanxiang Che
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Yue Zhang
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Meishan Zhang
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Ting Liu
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Disfluency Detection using Auto-Correlational Neural Networks
Paria Jamshid Lou
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Peter Anderson
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Mark Johnson
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Non-Monotonic Parsing of Fluent Umm I mean Disfluent Sentences
Mohammad Sadegh Rasooli
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Joel Tetreault
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IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing
Hui Wan
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Tahira Naseem
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Young-Suk Lee
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Vittorio Castelli
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Miguel Ballesteros
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The Universal Dependencies Treebank of Spoken Slovenian
Kaja Dobrovoljc
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Joakim Nivre
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Disfluency Detection with a Semi-Markov Model and Prosodic Features
James Ferguson
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Greg Durrett
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Dan Klein
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Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information
Trang Tran
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Shubham Toshniwal
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Mari Ostendorf
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Efficient Disfluency Detection with Transition-based Parsing
Shuangzhi Wu
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Dongdong Zhang
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Ming Zhou
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Tiejun Zhao
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Error-repair Dependency Parsing for Ungrammatical Texts
Keisuke Sakaguchi
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Matt Post
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Benjamin Van Durme
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Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model
Paria Jamshid Lou
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Mark Johnson
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Joint Incremental Disfluency Detection and Dependency Parsing
Matthew Honnibal
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Mark Johnson
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Filled Pauses in User-generated Content are Words with Extra-propositional Meaning
Ines Rehbein
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Enriching ASR Lattices with POS Tags for Dependency Parsing
Moritz Stiefel
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Ngoc Thang Vu
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Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing
Kaja Dobrovoljc
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Matej Martinc
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http://stp.lingfil.uu.se/
Field Of Study
Linguistic Trends
Discourse
Psycholinguistics
Language
English
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