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Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
Karthik Narasimhan
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Adam Yala
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Regina Barzilay
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Deep Bayesian Learning and Understanding
Jen-Tzung Chien
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Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang
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Yuan Li
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Trevor Cohn
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Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Dipendra Misra
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John Langford
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Yoav Artzi
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Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision
Haoruo Peng
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Ming-Wei Chang
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Wen-tau Yih
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Learning what to read: Focused machine reading
Enrique Noriega-Atala
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Marco A. Valenzuela-Escárcega
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Clayton Morrison
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Mihai Surdeanu
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Thread Popularity Prediction and Tracking with a Permutation-invariant Model
Hou Pong Chan
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Irwin King
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Coarse-to-Fine Question Answering for Long Documents
Eunsol Choi
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Daniel Hewlett
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Jakob Uszkoreit
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Illia Polosukhin
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Alexandre Lacoste
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Jonathan Berant
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Deep Reinforcement Learning for Chinese Zero Pronoun Resolution
Qingyu Yin
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Yu Zhang
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Wei-Nan Zhang
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Ting Liu
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William Yang Wang
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Deep Reinforcement Learning for NLP
William Yang Wang
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Jiwei Li
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Xiaodong He
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Knowledge Completion for Generics using Guided Tensor Factorization
Hanie Sedghi
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Ashish Sabharwal
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Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl
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Pontus Stenetorp
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Sebastian Riedel
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Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning
Motoki Taniguchi
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Yasuhide Miura
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Tomoko Ohkuma
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http://people.csail.mit
Field Of Study
Task
Language Understanding
Information Extraction
Question Answering
Coreference Resolution
Language
English
Dataset
News
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