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Reading The Web with Learned Syntactic-Semantic Inference Rules
Ni Lao
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Amarnag Subramanya
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Fernando Pereira
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William W. Cohen
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Paper Details:
Month: July
Year: 2012
Location: Jeju Island, Korea
Venue:
CoNLL |
EMNLP |
Citations
URL
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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Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction
Jason Weston
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Antoine Bordes
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Oksana Yakhnenko
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Nicolas Usunier
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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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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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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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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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A New Entity Salience Task with Millions of Training Examples
Jesse Dunietz
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Daniel Gillick
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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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Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding
Yun-Nung Chen
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William Yang Wang
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Alexander Rudnicky
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Structured Learning for Taxonomy Induction with Belief Propagation
Mohit Bansal
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David Burkett
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Gerard de Melo
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Dan Klein
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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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Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach
William Yang Wang
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William W. Cohen
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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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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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Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis
Claudio Delli Bovi
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Luca Telesca
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Roberto Navigli
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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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No URLs Found
Field Of Study
Task
Information Extraction
Relation Extraction
Question Answering
Knowledge Acquisition
Coreference Resolution
Language
English
Dataset
News
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