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Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
Lianhui Qin
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Zhisong Zhang
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Hai Zhao
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Zhiting Hu
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Eric Xing
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Adversarial Feature Adaptation for Cross-lingual Relation Classification
Bowei Zou
|
Zengzhuang Xu
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Yu Hong
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Guodong Zhou
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One-shot Learning for Question-Answering in Gaokao History Challenge
Zhuosheng Zhang
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Hai Zhao
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Deep Enhanced Representation for Implicit Discourse Relation Recognition
Hongxiao Bai
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Hai Zhao
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A Knowledge-Augmented Neural Network Model for Implicit Discourse Relation Classification
Yudai Kishimoto
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Yugo Murawaki
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Sadao Kurohashi
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A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?
Jiaxun Cai
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Shexia He
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Zuchao Li
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Hai Zhao
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Seq2seq Dependency Parsing
Zuchao Li
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Jiaxun Cai
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Shexia He
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Hai Zhao
|
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Zhuosheng Zhang
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Jiangtong Li
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Pengfei Zhu
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Hai Zhao
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Gongshen Liu
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Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification
Wei Shi
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Frances Yung
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Raphael Rubino
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Vera Demberg
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Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
Zuchao Li
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Shexia He
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Zhuosheng Zhang
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Hai Zhao
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Multilingual Universal Dependency Parsing from Raw Text with Low-Resource Language Enhancement
Yingting Wu
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Hai Zhao
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Jia-Jun Tong
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Automatic Prediction of Discourse Connectives
Eric Malmi
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Daniele Pighin
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Sebastian Krause
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Mikhail Kozhevnikov
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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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SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling
Ana Marasović
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Anette Frank
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Syntax for Semantic Role Labeling, To Be, Or Not To Be
Shexia He
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Zuchao Li
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Hai Zhao
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Hongxiao Bai
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SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings
Zhuosheng Zhang
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Jiangtong Li
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Hai Zhao
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Bingjie Tang
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Role Semantics for Better Models of Implicit Discourse Relations
Michael Roth
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https://doi.org/10.18653/v1/P17-1093
https://doi.org/10.18653/v1/P17-1093
http://www.seas.upenn.edu/pdtb/
https://www.tensorflow.org
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Discourse Parsing
Question Answering
Summarization
Machine Translation
ASR
Word Segmentation
Approach
Representation Learning
Language
Chinese
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