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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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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
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Steven Schockaert
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Traversing Knowledge Graphs in Vector Space
Kelvin Guu
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John Miller
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Percy Liang
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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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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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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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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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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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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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Commonsense Knowledge Base Completion
Xiang Li
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Aynaz Taheri
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Lifu Tu
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Kevin Gimpel
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Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang
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Tom Mitchell
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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/emnlp2014
Field Of Study
Linguistic Trends
Distributional Semantics
Task
Named Entity Recognition
Relation Extraction
Sentiment Analysis
Language
Multilingual
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