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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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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
Ajay Nagesh
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Mihai Surdeanu
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Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Wenpeng Yin
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Yadollah Yaghoobzadeh
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Hinrich Schütze
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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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An Insight Extraction System on BioMedical Literature with Deep Neural Networks
Hua He
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Kris Ganjam
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Navendu Jain
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Jessica Lundin
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Ryen White
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Jimmy Lin
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Embedding Multimodal Relational Data for Knowledge Base Completion
Pouya Pezeshkpour
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Liyan Chen
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Sameer Singh
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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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Distant Supervision for Relation Extraction beyond the Sentence Boundary
Chris Quirk
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Hoifung Poon
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Neighborhood Mixture Model for Knowledge Base Completion
Dat Quoc Nguyen
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Kairit Sirts
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Lizhen Qu
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Mark Johnson
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Revisiting the Task of Scoring Open IE Relations
William Léchelle
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Philippe Langlais
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Accurate Text-Enhanced Knowledge Graph Representation Learning
Bo An
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Bo Chen
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Xianpei Han
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Le Sun
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A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
Dai Quoc Nguyen
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Tu Dinh Nguyen
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Dat Quoc Nguyen
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Dinh Phung
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LinkNBed: Multi-Graph Representation Learning with Entity Linkage
Rakshit Trivedi
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Bunyamin Sisman
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Xin Luna Dong
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Christos Faloutsos
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Jun Ma
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Hongyuan Zha
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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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Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion
Yelong Shen
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Po-Sen Huang
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Ming-Wei Chang
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Jianfeng Gao
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Parsing
Relation Extraction
Question Answering
Approach
Representation Learning
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