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Dynamic Entity Representations in Neural Language Models
Yangfeng Ji
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Chenhao Tan
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Sebastian Martschat
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Yejin Choi
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Noah A. Smith
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Cross-lingual Decompositional Semantic Parsing
Sheng Zhang
|
Xutai Ma
|
Rachel Rudinger
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Kevin Duh
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Benjamin Van Durme
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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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End-to-End Neural Entity Linking
Nikolaos Kolitsas
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Octavian-Eugen Ganea
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Thomas Hofmann
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Neural Text Generation in Stories Using Entity Representations as Context
Elizabeth Clark
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Yangfeng Ji
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Noah A. Smith
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Neural Models for Reasoning over Multiple Mentions Using Coreference
Bhuwan Dhingra
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Qiao Jin
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Zhilin Yang
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William Cohen
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Ruslan Salakhutdinov
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Context-Aware Neural Machine Translation Learns Anaphora Resolution
Elena Voita
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Pavel Serdyukov
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Rico Sennrich
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Ivan Titov
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Modeling Naive Psychology of Characters in Simple Commonsense Stories
Hannah Rashkin
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Antoine Bosselut
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Maarten Sap
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Kevin Knight
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Yejin Choi
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Object-oriented Neural Programming (OONP) for Document Understanding
Zhengdong Lu
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Xianggen Liu
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Haotian Cui
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Yukun Yan
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Daqi Zheng
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https://github.com/smartschat/cort
https://github.com/smartschat/art
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Coreference Resolution
Approach
Generative Model
Graphical Model
Language
Chinese
English
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