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Two Discourse Driven Language Models for Semantics
Haoruo Peng
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Dan Roth
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task
Qian Li
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Ziwei Li
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Jin-Mao Wei
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Yanhui Gu
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Adam Jatowt
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Zhenglu Yang
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Story Comprehension for Predicting What Happens Next
Snigdha Chaturvedi
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Haoruo Peng
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Dan Roth
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On the Strength of Character Language Models for Multilingual Named Entity Recognition
Xiaodong Yu
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Stephen Mayhew
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Mark Sammons
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Dan Roth
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Hierarchical Quantized Representations for Script Generation
Noah Weber
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Leena Shekhar
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Niranjan Balasubramanian
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Nathanael Chambers
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Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments
Quynh Ngoc Thi Do
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Steven Bethard
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Marie-Francine Moens
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A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Sosuke Kobayashi
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Naoaki Okazaki
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Kentaro Inui
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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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Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
Qiang Ning
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Hao Wu
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Haoruo Peng
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Dan Roth
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The Storyline Annotation and Representation Scheme (StaR): A Proposal
Tommaso Caselli
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Piek Vossen
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A Parallel Recurrent Neural Network for Language Modeling with POS Tags
Chao Su
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Heyan Huang
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Shumin Shi
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Yuhang Guo
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Hao Wu
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https://catalog.ldc.upenn.edu/LDC2008T19
http://cogcomp.cs.illinois.edu/page/software/
http://verbs.colorado.edu/verb-index/fn/vn-fn.xml
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Language Understanding
Tagging
Discourse Parsing
Question Answering
Coreference Resolution
Machine Translation
Approach
Bayesian Model
Graphical Model
Unsupervised Learning
Language
Multilingual
English
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