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Multi-view and multi-task training of RST discourse parsers
Chloé Braud
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Barbara Plank
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Anders Søgaard
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
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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When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso
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Barbara Plank
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Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel
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Anders Søgaard
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Developing the Bangla RST Discourse Treebank
Debopam Das
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Manfred Stede
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Multi-Task Learning for Argumentation Mining in Low-Resource Settings
Claudia Schulz
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Steffen Eger
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Johannes Daxenberger
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Tobias Kahse
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Iryna Gurevych
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Multitask Parsing Across Semantic Representations
Daniel Hershcovich
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Omri Abend
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Ari Rappoport
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The Good, the Bad, and the Disagreement: Complex ground truth in rhetorical structure analysis
Debopam Das
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Manfred Stede
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Maite Taboada
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A Distributional View of Discourse Encapsulation: Multifactorial Prediction of Coreference Density in RST
Amir Zeldes
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http://bitbucket.org/chloebt/discourse
https://github.com/yoavg/cnn/
https://sites.google.com/site/rmyeid/projects/polyglot
https://github.com/jiyfeng/DPLP
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Tagging
Chunking
Discourse Parsing
Sentiment Analysis
Summarization
Approach
Deep Learning
Language
English
Dataset
News
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