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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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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
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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Joint Relational Embeddings for Knowledge-based Question Answering
Min-Chul Yang
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Nan Duan
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Ming Zhou
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Hae-Chang Rim
|
Queries as a Source of Lexicalized Commonsense Knowledge
Marius Paşca
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Typed Tensor Decomposition of Knowledge Bases for Relation Extraction
Kai-Wei Chang
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Wen-tau Yih
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Bishan Yang
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Christopher Meek
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Knowledge Graph and Text Jointly Embedding
Zhen Wang
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Jianwen Zhang
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Jianlin Feng
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Zheng Chen
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#TagSpace: Semantic Embeddings from Hashtags
Jason Weston
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Sumit Chopra
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Keith Adams
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Distributional vectors encode referential attributes
Abhijeet Gupta
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Gemma Boleda
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Marco Baroni
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Sebastian Padó
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Corpus-level Fine-grained Entity Typing Using Contextual Information
Yadollah Yaghoobzadeh
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Hinrich Schütze
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Knowledge Base Unification via Sense Embeddings and Disambiguation
Claudio Delli Bovi
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Luis Espinosa-Anke
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Roberto Navigli
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Component-Enhanced Chinese Character Embeddings
Yanran Li
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Wenjie Li
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Fei Sun
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Sujian Li
|
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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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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Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
Huazheng Wang
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Fei Tian
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Bin Gao
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Chengjieren Zhu
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Jiang Bian
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Tie-Yan Liu
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Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
Yixin Cao
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Lei Hou
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Juanzi Li
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Zhiyuan Liu
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Chengjiang Li
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Xu Chen
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Tiansi Dong
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Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
Guanying Wang
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Wen Zhang
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Ruoxu Wang
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Yalin Zhou
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Xi Chen
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Wei Zhang
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Hai Zhu
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Huajun Chen
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Noise Mitigation for Neural Entity Typing and Relation Extraction
Yadollah Yaghoobzadeh
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Heike Adel
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Hinrich Schütze
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Open Relation Extraction and Grounding
Dian Yu
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Lifu Huang
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Heng Ji
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NASARI: a Novel Approach to a Semantically-Aware Representation of Items
José Camacho-Collados
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Mohammad Taher Pilehvar
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Roberto Navigli
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Semantically Smooth Knowledge Graph Embedding
Shu Guo
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Quan Wang
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Bin Wang
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Lihong Wang
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Li Guo
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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 to Explain Entity Relationships in Knowledge Graphs
Nikos Voskarides
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Edgar Meij
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Manos Tsagkias
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Maarten de Rijke
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Wouter Weerkamp
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A Hierarchical Knowledge Representation for Expert Finding on Social Media
Yanran Li
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Wenjie Li
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Sujian Li
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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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Unsupervised Learning of Distributional Relation Vectors
Shoaib Jameel
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Zied Bouraoui
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Steven Schockaert
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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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Using Entity Information from a Knowledge Base to Improve Relation Extraction
Lan Du
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Anish Kumar
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Mark Johnson
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Massimiliano Ciaramita
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Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding
Ramesh Nallapati
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Radu Florian
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Joint Semantic Relevance Learning with Text Data and Graph Knowledge
Dongxu Zhang
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Bin Yuan
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Dong Wang
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Rong Liu
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A Sequence Learning Method for Domain-Specific Entity Linking
Emrah Inan
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Oguz Dikenelli
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Transition-based Knowledge Graph Embedding with Relational Mapping Properties
Miao Fan
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Qiang Zhou
|
Emily Chang
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Thomas Fang Zheng
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Task
Information Extraction
Relation Extraction
Language
French
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