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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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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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Lifted Rule Injection for Relation Embeddings
Thomas Demeester
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Tim Rocktäschel
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Sebastian Riedel
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Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Liyuan Liu
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Xiang Ren
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Qi Zhu
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Shi Zhi
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Huan Gui
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Heng Ji
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Jiawei Han
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Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
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Patrick Verga
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David Belanger
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Andrew McCallum
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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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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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Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
Koki Washio
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Tsuneaki Kato
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Predicting Semantic Relations using Global Graph Properties
Yuval Pinter
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Jacob Eisenstein
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One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong
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Mo Yu
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Shiyu Chang
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Xiaoxiao Guo
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William Yang Wang
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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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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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Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema
Patrick Verga
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Arvind Neelakantan
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Andrew McCallum
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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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Open Relation Extraction and Grounding
Dian Yu
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Lifu Huang
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Heng Ji
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Zero-Shot Relation Extraction via Reading Comprehension
Omer Levy
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Minjoon Seo
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Eunsol Choi
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Luke Zettlemoyer
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Revisiting the Task of Scoring Open IE Relations
William Léchelle
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Philippe Langlais
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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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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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Global Relation Embedding for Relation Extraction
Yu Su
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Honglei Liu
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Semih Yavuz
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Izzeddin Gür
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Huan Sun
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Xifeng Yan
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Variational Knowledge Graph Reasoning
Wenhu Chen
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Wenhan Xiong
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Xifeng Yan
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William Yang Wang
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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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Commonsense Knowledge Base Completion
Xiang Li
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Aynaz Taheri
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Lifu Tu
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Kevin Gimpel
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Composing Distributed Representations of Relational Patterns
Sho Takase
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Naoaki Okazaki
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Kentaro Inui
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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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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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Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang
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Tom Mitchell
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Towards Understanding the Geometry of Knowledge Graph Embeddings
Chandrahas
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Aditya Sharma
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Partha Talukdar
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Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Huiming Jin
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Hao Zhu
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Zhiyuan Liu
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Ruobing Xie
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Maosong Sun
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Fen Lin
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Leyu Lin
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Learning Distributed Representations of Texts and Entities from Knowledge Base
Ikuya Yamada
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Hiroyuki Shindo
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Hideaki Takeda
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Yoshiyasu Takefuji
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Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible
Abhijeet Gupta
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Gemma Boleda
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Sebastian Padó
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Generating Pattern-Based Entailment Graphs for Relation Extraction
Kathrin Eichler
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Feiyu Xu
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Hans Uszkoreit
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Sebastian Krause
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Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models
Zhuang Li
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Lizhen Qu
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Qiongkai Xu
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Mark Johnson
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Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks
Teresa Martin
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Fiete Botschen
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Ajay Nagesh
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Andrew McCallum
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A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion
Johannes Welbl
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Guillaume Bouchard
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Sebastian Riedel
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Adjusting Word Embeddings with Semantic Intensity Orders
Joo-Kyung Kim
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Marie-Catherine de Marneffe
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Eric Fosler-Lussier
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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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Dependency Parsing with Dilated Iterated Graph CNNs
Emma Strubell
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Andrew McCallum
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Jointly Embedding Entities and Text with Distant Supervision
Denis Newman-Griffis
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Albert M Lai
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Eric Fosler-Lussier
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Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations
Matthias R. Lalisse
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Paul Smolensky
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http://lemurproject.org/clueweb12/
Field Of Study
Linguistic Trends
Embeddings
Task
Information Extraction
Relation Extraction
Language
English
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