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Traversing Knowledge Graphs in Vector Space
Kelvin Guu
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John Miller
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Percy Liang
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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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Modeling Context-sensitive Selectional Preference with Distributed Representations
Naoya Inoue
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Yuichiroh Matsubayashi
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Masayuki Ono
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Naoaki Okazaki
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Kentaro Inui
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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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Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
Karthik Narasimhan
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Adam Yala
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Regina Barzilay
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DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Wenhan Xiong
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Thien Hoang
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William Yang Wang
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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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Predicting Semantic Relations using Global Graph Properties
Yuval Pinter
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Jacob Eisenstein
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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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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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A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Sosuke Kobayashi
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Naoaki Okazaki
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Kentaro Inui
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The Challenge of Composition in Distributional and Formal Semantics
Ran Tian
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Koji Mineshima
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Pascual Martínez-Gómez
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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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Data Recombination for Neural Semantic Parsing
Robin Jia
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Percy Liang
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Inferring Logical Forms From Denotations
Panupong Pasupat
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Percy Liang
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CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
Zihang Dai
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Lei Li
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Wei Xu
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Learning Semantically and Additively Compositional Distributional Representations
Ran Tian
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Naoaki Okazaki
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Kentaro Inui
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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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Simpler Context-Dependent Logical Forms via Model Projections
Reginald Long
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Panupong Pasupat
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Percy Liang
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Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors
Xuepeng Wang
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Kang Liu
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Jun Zhao
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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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Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
Rajarshi Das
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Manzil Zaheer
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Siva Reddy
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Andrew McCallum
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On the Equivalence of Holographic and Complex Embeddings for Link Prediction
Katsuhiko Hayashi
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Masashi Shimbo
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Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
Alane Suhr
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Yoav Artzi
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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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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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Why “Blow Out”? A Structural Analysis of the Movie Dialog Dataset
Richard Searle
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Megan Bingham-Walker
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https://www.codalab.org/worksheets/
Field Of Study
Task
Language Understanding
Question Answering
Language
English
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