NLPExplorer

Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts

Masashi Yoshikawa | Hiroyuki Shindo | Yuji Matsumoto |

Month: November
Year: 2016
Location: Austin, Texas
Venue: EMNLP |
SIG: SIGDAT

Disfluency Detection using Auto-Correlational Neural Networks
Paria Jamshid Lou | Peter Anderson | Mark Johnson |

Error-repair Dependency Parsing for Ungrammatical Texts
Keisuke Sakaguchi | Matt Post | Benjamin Van Durme |

Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model
Paria Jamshid Lou | Mark Johnson |

Parsing transcripts of speech
Andrew Caines | Michael McCarthy | Paula Buttery |

Enriching ASR Lattices with POS Tags for Dependency Parsing
Moritz Stiefel | Ngoc Thang Vu |

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing
Kaja Dobrovoljc | Matej Martinc |

Discourse

Tagging ASR

English

Indicative Tweet Generation: An Extractive Summarization Problem?

Priya Sidhaye | Jackie Chi Kit Cheung |

Diana Maynard | Mark Greenwood |

Argumentation Mining in User-Generated Web Discourse

Ivan Habernal | Iryna Gurevych |

TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text