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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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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Towards Time-Aware Knowledge Graph Completion
Tingsong Jiang
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Tianyu Liu
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Tao Ge
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Lei Sha
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Baobao Chang
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Sujian Li
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Zhifang Sui
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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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Context-Dependent Knowledge Graph Embedding
Yuanfei Luo
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Quan Wang
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Bin Wang
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Li Guo
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CORE: Context-Aware Open Relation Extraction with Factorization Machines
Fabio Petroni
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Luciano Del Corro
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Rainer Gemulla
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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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Relation Schema Induction using Tensor Factorization with Side Information
Madhav Nimishakavi
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Uday Singh Saini
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Partha Talukdar
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Encoding Temporal Information for Time-Aware Link Prediction
Tingsong Jiang
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Tianyu Liu
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Tao Ge
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Lei Sha
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Sujian Li
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Baobao Chang
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Zhifang Sui
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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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Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis
Ryan Cotterell
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Adam Poliak
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Benjamin Van Durme
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Jason Eisner
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Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods
Arvind Neelakantan
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Ming-Wei Chang
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Injecting Logical Background Knowledge into Embeddings for Relation Extraction
Tim Rocktäschel
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Sameer Singh
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Sebastian Riedel
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Learning Word Embeddings for Low-Resource Languages by PU Learning
Chao Jiang
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Hsiang-Fu Yu
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Cho-Jui Hsieh
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Kai-Wei Chang
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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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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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Incorporating Relational Knowledge into Word Representations using Subspace Regularization
Abhishek Kumar
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Jun Araki
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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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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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Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation
Madhav Nimishakavi
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Manish Gupta
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Partha Talukdar
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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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Knowledge Completion for Generics using Guided Tensor Factorization
Hanie Sedghi
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Ashish Sabharwal
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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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Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction
Sameer Singh
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Tim Rocktäschel
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Sebastian Riedel
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Semantic Information Extraction for Improved Word Embeddings
Jiaqiang Chen
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Gerard de Melo
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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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Multi-source named entity typing for social media
Reuth Vexler
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Einat Minkov
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http://www.cs.cmu.edu/
http://bit.ly/trescal
http://arxiv.org/abs/1303.1733
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Parsing
Information Extraction
Relation Extraction
Language
English
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