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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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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
GAKE: Graph Aware Knowledge Embedding
Jun Feng
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Minlie Huang
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Yang Yang
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Xiaoyan Zhu
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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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Jointly Embedding Knowledge Graphs and Logical Rules
Shu Guo
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Quan Wang
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Lihong Wang
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Bin Wang
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Li Guo
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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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Differentiating Concepts and Instances for Knowledge Graph Embedding
Xin Lv
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Lei Hou
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Juanzi Li
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Zhiyuan Liu
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Knowledge Graph Embedding with Hierarchical Relation Structure
Zhao Zhang
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Fuzhen Zhuang
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Meng Qu
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Fen Lin
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Qing He
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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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STransE: a novel embedding model of entities and relationships in knowledge bases
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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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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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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TransG : A Generative Model for Knowledge Graph Embedding
Han Xiao
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Minlie Huang
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Xiaoyan Zhu
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An Interpretable Knowledge Transfer Model for Knowledge Base Completion
Qizhe Xie
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Xuezhe Ma
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Zihang Dai
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Eduard Hovy
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Improving Knowledge Graph Embedding Using Simple Constraints
Boyang Ding
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Quan Wang
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Bin Wang
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Li Guo
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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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Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations
Diego Marcheggiani
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Ivan Titov
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A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning
Hatem Mousselly-Sergieh
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Teresa Botschen
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Iryna Gurevych
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Stefan Roth
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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
|
https://github.com/mrlyk423/
Field Of Study
Linguistic Trends
Embeddings
Task
Information Retrieval
Relation Extraction
Question Answering
Approach
Representation Learning
Language
English
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