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Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
Rajarshi Das
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Arvind Neelakantan
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David Belanger
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Andrew McCallum
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Wenpeng Yin
|
Yadollah Yaghoobzadeh
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Hinrich Schütze
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DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Wenhan Xiong
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Thien Hoang
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William Yang Wang
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Entity Linking via Joint Encoding of Types, Descriptions, and Context
Nitish Gupta
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Sameer Singh
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Dan Roth
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Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Xi Victoria Lin
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Richard Socher
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Caiming Xiong
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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Haitian Sun
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Bhuwan Dhingra
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Manzil Zaheer
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Kathryn Mazaitis
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Ruslan Salakhutdinov
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William Cohen
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Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Ryo Takahashi
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Ran Tian
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Kentaro Inui
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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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Knowledge Base Completion: Baselines Strike Back
Rudolf Kadlec
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Ondrej Bajgar
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Jan Kleindienst
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https://rajarshd.github.io/ChainsofReasoning/
Field Of Study
Linguistic Trends
Embeddings
Task
Relation Extraction
Language
English
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