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Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings
Todor Mihaylov
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Anette Frank
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
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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Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
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Peter Clark
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Tushar Khot
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Ashish Sabharwal
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A Systematic Study of Neural Discourse Models for Implicit Discourse Relation
Attapol Rutherford
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Vera Demberg
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Nianwen Xue
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CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing
Nianwen Xue
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Hwee Tou Ng
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Sameer Pradhan
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Attapol Rutherford
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Bonnie Webber
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Chuan Wang
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Hongmin Wang
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A Joint Model for Semantic Sequences: Frames, Entities, Sentiments
Haoruo Peng
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Snigdha Chaturvedi
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Dan Roth
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Attention for Implicit Discourse Relation Recognition
Andre Cianflone
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Leila Kosseim
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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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Resource-Lean Modeling of Coherence in Commonsense Stories
Niko Schenk
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Christian Chiarcos
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Story Cloze Ending Selection Baselines and Data Examination
Todor Mihaylov
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Anette Frank
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https://github.com/tbmihailov/
https://code.google.com/archive/p/
https://www.seas.upenn.edu/
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Discourse Parsing
Semantic Similarity
Question Answering
Machine Translation
Approach
Deep Learning
Representation Learning
Language
Multilingual
Dataset
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