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Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues
Matt Gardner
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Partha Pratim Talukdar
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Bryan Kisiel
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Tom Mitchell
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
Matt Gardner
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Partha Talukdar
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Jayant Krishnamurthy
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Tom Mitchell
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NaturalLI: Natural Logic Inference for Common Sense Reasoning
Gabor Angeli
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Christopher D. Manning
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An Entity-centric Approach for Overcoming Knowledge Graph Sparsity
Manjunath Hegde
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Partha P. Talukdar
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Modeling Relation Paths for Representation Learning of Knowledge Bases
Yankai Lin
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Zhiyuan Liu
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Huanbo Luan
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Maosong Sun
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Siwei Rao
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Song Liu
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Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction
Matt Gardner
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Tom Mitchell
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Representing Text for Joint Embedding of Text and Knowledge Bases
Kristina Toutanova
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Danqi Chen
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Patrick Pantel
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Hoifung Poon
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Pallavi Choudhury
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Michael Gamon
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Knowledge Base Inference using Bridging Entities
Bhushan Kotnis
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Pradeep Bansal
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Partha P. Talukdar
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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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Incorporating Relation Paths in Neural Relation Extraction
Wenyuan Zeng
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Yankai Lin
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Zhiyuan Liu
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Maosong Sun
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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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Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge
Bonan Min
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Marjorie Freedman
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Talya Meltzer
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Variational Knowledge Graph Reasoning
Wenhu Chen
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Wenhan Xiong
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Xifeng Yan
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William Yang Wang
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Compositional Vector Space Models for Knowledge Base Completion
Arvind Neelakantan
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Benjamin Roth
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Andrew McCallum
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Learning Relational Features with Backward Random Walks
Ni Lao
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Einat Minkov
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William Cohen
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Knowledge Base Completion via Coupled Path Ranking
Quan Wang
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Jing Liu
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Yuanfei Luo
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Bin Wang
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Chin-Yew Lin
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Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text
Kristina Toutanova
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Victoria Lin
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Wen-tau Yih
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Hoifung Poon
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Chris Quirk
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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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Jointly Embedding Relations and Mentions for Knowledge Population
Miao Fan
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Kai Cao
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Yifan He
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Ralph Grishman
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Observed versus latent features for knowledge base and text inference
Kristina Toutanova
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Danqi Chen
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Incorporating Selectional Preferences in Multi-hop Relation Extraction
Rajarshi Das
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Arvind Neelakantan
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David Belanger
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Andrew McCallum
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http://rtw.ml.cmu.edu/emnlp2013
http://hazy.cs.wisc.edu/hazy/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Information Extraction
Relation Extraction
Question Answering
Language
English
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