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Discourse Parsing with Attention-based Hierarchical Neural Networks
Qi Li
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Tianshi Li
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Baobao Chang
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning
Fengyu Guo
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Ruifang He
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Di Jin
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Jianwu Dang
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Longbiao Wang
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Xiangang Li
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Learning Contextually Informed Representations for Linear-Time Discourse Parsing
Yang Liu
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Mirella Lapata
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How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT
Mathieu Morey
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Philippe Muller
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Nicholas Asher
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Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph
Zeyu Dai
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Ruihong Huang
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A Two-Stage Parsing Method for Text-Level Discourse Analysis
Yizhong Wang
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Sujian Li
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Houfeng Wang
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https://catalog.ldc.upenn.edu/LDC2002T07
https://catalog.ldc.upenn.edu/LDC2011T07
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Tagging
Discourse Parsing
Sentiment Analysis
Summarization
Approach
Deep Learning
Language
English
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