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The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models
Evgeny Stepanov
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Giuseppe Riccardi
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Ali Orkan Bayer
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling
Niko Schenk
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Christian Chiarcos
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Kathrin Donandt
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Samuel Rönnqvist
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Evgeny Stepanov
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Giuseppe Riccardi
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Discourse Sense Classification from Scratch using Focused RNNs
Gregor Weiss
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Marko Bajec
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Shallow Discourse Parsing Using Convolutional Neural Network
Lianhui Qin
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Zhisong Zhang
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Hai Zhao
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UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task
Evgeny Stepanov
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Giuseppe Riccardi
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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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Discourse Relation Sense Classification with Two-Step Classifiers
Yusuke Kido
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Akiko Aizawa
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SDP-JAIST: A Shallow Discourse Parsing system @ CoNLL 2016 Shared Task
Minh Nguyen
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Explicit Argument Identification for Discourse Parsing In Hindi: A Hybrid Pipeline
Rohit Jain
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Dipti Sharma
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https://github.com/
Field Of Study
Linguistic Trends
Discourse
Task
Discourse Parsing
Language
English
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