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Relation Extraction with Matrix Factorization and Universal Schemas
Sebastian Riedel
|
Limin Yao
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Andrew McCallum
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Benjamin M. Marlin
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
NAACL |
Citations
URL
Sentiment Classification with Graph Co-Regularization
Guangyou Zhou
|
Jun Zhao
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Daojian Zeng
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Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks
Xiaotian Jiang
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Quan Wang
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Peng Li
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Bin Wang
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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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Hybrid Question Answering over Knowledge Base and Free Text
Kun Xu
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Yansong Feng
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Songfang Huang
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Dongyan Zhao
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Interactive Relation Extraction in Main Memory Database Systems
Rudolf Schneider
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Cordula Guder
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Torsten Kilias
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Alexander Löser
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Jens Graupmann
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Oleksandr Kozachuk
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Relation Induction in Word Embeddings Revisited
Zied Bouraoui
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Shoaib Jameel
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Steven Schockaert
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Exploratory Neural Relation Classification for Domain Knowledge Acquisition
Yan Fan
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Chengyu Wang
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Xiaofeng He
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An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
Ajay Nagesh
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Mihai Surdeanu
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SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
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Steven Schockaert
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Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues
Matt Gardner
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Partha Pratim Talukdar
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Bryan Kisiel
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Tom Mitchell
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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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Multi-Relational Latent Semantic Analysis
Kai-Wei Chang
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Wen-tau Yih
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Christopher Meek
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Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
Matt Gardner
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Partha Talukdar
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Jayant Krishnamurthy
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Tom Mitchell
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NaturalLI: Natural Logic Inference for Common Sense Reasoning
Gabor Angeli
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Christopher D. Manning
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Analysing recall loss in named entity slot filling
Glen Pink
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Joel Nothman
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James R. Curran
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Combining Distant and Partial Supervision for Relation Extraction
Gabor Angeli
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Julie Tibshirani
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Jean Wu
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Christopher D. Manning
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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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Type-Aware Distantly Supervised Relation Extraction with Linked Arguments
Mitchell Koch
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John Gilmer
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Stephen Soderland
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Daniel S. Weld
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Joint Inference for Knowledge Base Population
Liwei Chen
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Yansong Feng
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Jinghui Mo
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Songfang Huang
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Dongyan Zhao
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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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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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Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning
Isabelle Augenstein
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Andreas Vlachos
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Diana Maynard
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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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The Gun Violence Database: A new task and data set for NLP
Ellie Pavlick
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Heng Ji
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Xiaoman Pan
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Chris Callison-Burch
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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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POLY: Mining Relational Paraphrases from Multilingual Sentences
Adam Grycner
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Gerhard Weikum
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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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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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Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short
Jay Pujara
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Eriq Augustine
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Lise Getoor
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Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective
Qing Zhang
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Houfeng Wang
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MinIE: Minimizing Facts in Open Information Extraction
Kiril Gashteovski
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Rainer Gemulla
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Luciano del Corro
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Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak
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Aparajita Haldar
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Rachel Rudinger
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J. Edward Hu
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Ellie Pavlick
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Aaron Steven White
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Benjamin Van Durme
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Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
Koki Washio
|
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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Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention
Xu Han
|
Pengfei Yu
|
Zhiyuan Liu
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Maosong Sun
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Peng Li
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Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
Nathan Greenberg
|
Trapit Bansal
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Patrick Verga
|
Andrew McCallum
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Embedding Multimodal Relational Data for Knowledge Base Completion
Pouya Pezeshkpour
|
Liyan Chen
|
Sameer Singh
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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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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
|
Talya Meltzer
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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
|
Hoifung Poon
|
Noise Mitigation for Neural Entity Typing and Relation Extraction
Yadollah Yaghoobzadeh
|
Heike Adel
|
Hinrich Schütze
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The SUMMA Platform Prototype
Renars Liepins
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Ulrich Germann
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Guntis Barzdins
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Alexandra Birch
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Steve Renals
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Susanne Weber
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Peggy van der Kreeft
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Hervé Bourlard
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João Prieto
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Ondřej Klejch
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Peter Bell
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Alexandros Lazaridis
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Alfonso Mendes
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Sebastian Riedel
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Mariana S. C. Almeida
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Pedro Balage
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Shay B. Cohen
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Tomasz Dwojak
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Philip N. Garner
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Andreas Giefer
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Marcin Junczys-Dowmunt
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Hina Imran
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David Nogueira
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Ahmed Ali
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Sebastião Miranda
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Andrei Popescu-Belis
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Lesly Miculicich Werlen
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Nikos Papasarantopoulos
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Abiola Obamuyide
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Clive Jones
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Fahim Dalvi
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Andreas Vlachos
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Yang Wang
|
Sibo Tong
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Rico Sennrich
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Nikolaos Pappas
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Shashi Narayan
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Marco Damonte
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Nadir Durrani
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Sameer Khurana
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Ahmed Abdelali
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Hassan Sajjad
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Stephan Vogel
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David Sheppey
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Chris Hernon
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Jeff Mitchell
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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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High Recall Open IE for Relation Discovery
Hady Elsahar
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Christophe Gravier
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Frederique Laforest
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The Weltmodell: A Data-Driven Commonsense Knowledge Base
Alan Akbik
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Thilo Michael
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TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns
Kathrin Eichler
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Feiyu Xu
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Hans Uszkoreit
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Leonhard Hennig
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Sebastian Krause
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Revisiting the Task of Scoring Open IE Relations
William Léchelle
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Philippe Langlais
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Incorporating Global Contexts into Sentence Embedding for Relational Extraction at the Paragraph Level with Distant Supervision
Eun-kyung Kim
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Key-Sun Choi
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Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework
Ivan Titov
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Ehsan Khoddam
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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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WOLFE: An NLP-friendly Declarative Machine Learning Stack
Sameer Singh
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Tim Rocktäschel
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Luke Hewitt
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Jason Naradowsky
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Sebastian Riedel
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Knowledge-Guided Linguistic Rewrites for Inference Rule Verification
Prachi Jain
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Mausam
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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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Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua
Derry Tanti Wijaya
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Tom M. Mitchell
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Comparing Convolutional Neural Networks to Traditional Models for Slot Filling
Heike Adel
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Benjamin Roth
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Hinrich Schütze
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Effective Crowd Annotation for Relation Extraction
Angli Liu
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Stephen Soderland
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Jonathan Bragg
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Christopher H. Lin
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Xiao Ling
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Daniel S. Weld
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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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Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
Patrick Verga
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Emma Strubell
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Andrew McCallum
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Relational Summarization for Corpus Analysis
Abram Handler
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Brendan O’Connor
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Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces
Isabelle Augenstein
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Sebastian Ruder
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Anders Søgaard
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Zero-shot Entity Extraction from Web Pages
Panupong Pasupat
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Percy Liang
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Encoding Relation Requirements for Relation Extraction via Joint Inference
Liwei Chen
|
Yansong Feng
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Songfang Huang
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Yong Qin
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Dongyan Zhao
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Distant Supervision for Relation Extraction with Matrix Completion
Miao Fan
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Deli Zhao
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Qiang Zhou
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Zhiyuan Liu
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Thomas Fang Zheng
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Edward Y. Chang
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Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction
Xianpei Han
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Le Sun
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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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Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification
Audi Primadhanty
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Xavier Carreras
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Ariadna Quattoni
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Compositional Vector Space Models for Knowledge Base Completion
Arvind Neelakantan
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Benjamin Roth
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Andrew McCallum
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Leveraging Linguistic Structure For Open Domain Information Extraction
Gabor Angeli
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Melvin Jose Johnson Premkumar
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Christopher D. Manning
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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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Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding
Yun-Nung Chen
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William Yang Wang
|
Anatole Gershman
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Alexander Rudnicky
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Scalable Semantic Parsing with Partial Ontologies
Eunsol Choi
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Tom Kwiatkowski
|
Luke Zettlemoyer
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A Lexicalized Tree Kernel for Open Information Extraction
Ying Xu
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Christoph Ringlstetter
|
Mi-Young Kim
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Grzegorz Kondrak
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Randy Goebel
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Yusuke Miyao
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Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems
Yun-Nung Chen
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Combining Natural Logic and Shallow Reasoning for Question Answering
Gabor Angeli
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Neha Nayak
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Christopher D. Manning
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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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Question Answering on Freebase via Relation Extraction and Textual Evidence
Kun Xu
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Siva Reddy
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Yansong Feng
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Songfang Huang
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Dongyan Zhao
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Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
Vered Shwartz
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Yoav Goldberg
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Ido Dagan
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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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JEDI: Joint Entity and Relation Detection using Type Inference
Johannes Kirschnick
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Holmer Hemsen
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Volker Markl
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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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Identifying 1950s American Jazz Musicians: Fine-Grained IsA Extraction via Modifier Composition
Ellie Pavlick
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Marius Paşca
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Feature-Rich Networks for Knowledge Base Completion
Alexandros Komninos
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Suresh Manandhar
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Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
Rajarshi Das
|
Manzil Zaheer
|
Siva Reddy
|
Andrew McCallum
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Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation
Madhav Nimishakavi
|
Manish Gupta
|
Partha Talukdar
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Discovering Implicit Knowledge with Unary Relations
Michael Glass
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Alfio Gliozzo
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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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Large-scale Semantic Parsing without Question-Answer Pairs
Siva Reddy
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Mirella Lapata
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Mark Steedman
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Exploiting Parallel News Streams for Unsupervised Event Extraction
Congle Zhang
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Stephen Soderland
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Daniel S. Weld
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Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary
Jayant Krishnamurthy
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Tom M. Mitchell
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Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis
Claudio Delli Bovi
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Luca Telesca
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Roberto Navigli
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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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Learning Distributed Representations of Texts and Entities from Knowledge Base
Ikuya Yamada
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Hiroyuki Shindo
|
Hideaki Takeda
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Yoshiyasu Takefuji
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Knowledge Completion for Generics using Guided Tensor Factorization
Hanie Sedghi
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Ashish Sabharwal
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Learning Typed Entailment Graphs with Global Soft Constraints
Mohammad Javad Hosseini
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Nathanael Chambers
|
Siva Reddy
|
Xavier R. Holt
|
Shay B. Cohen
|
Mark Johnson
|
Mark Steedman
|
Generating Pattern-Based Entailment Graphs for Relation Extraction
Kathrin Eichler
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Feiyu Xu
|
Hans Uszkoreit
|
Sebastian Krause
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Using Entity Information from a Knowledge Base to Improve Relation Extraction
Lan Du
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Anish Kumar
|
Mark Johnson
|
Massimiliano Ciaramita
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Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models
Zhuang Li
|
Lizhen Qu
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Qiongkai Xu
|
Mark Johnson
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Philosophers are Mortal: Inferring the Truth of Unseen Facts
Gabor Angeli
|
Christopher Manning
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Inducing Neural Models of Script Knowledge
Ashutosh Modi
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Ivan Titov
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Focused Entailment Graphs for Open IE Propositions
Omer Levy
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Ido Dagan
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Jacob Goldberger
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A Deep Architecture for Semantic Parsing
Edward Grefenstette
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Phil Blunsom
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Nando de Freitas
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Karl Moritz Hermann
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Low-Dimensional Embeddings of Logic
Tim Rocktäschel
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Matko Bosnjak
|
Sameer Singh
|
Sebastian Riedel
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Fact Checking: Task definition and dataset construction
Andreas Vlachos
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Sebastian Riedel
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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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Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities
Jackie Chi Kit Cheung
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Joint Semantic Relevance Learning with Text Data and Graph Knowledge
Dongxu Zhang
|
Bin Yuan
|
Dong Wang
|
Rong Liu
|
Observed versus latent features for knowledge base and text inference
Kristina Toutanova
|
Danqi Chen
|
Paraphrase for Open Question Answering: New Dataset and Methods
Ying Xu
|
Pascual Martínez-Gómez
|
Yusuke Miyao
|
Randy Goebel
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Incorporating Selectional Preferences in Multi-hop Relation Extraction
Rajarshi Das
|
Arvind Neelakantan
|
David Belanger
|
Andrew McCallum
|
Applying Universal Schemas for Domain Specific Ontology Expansion
Paul Groth
|
Sujit Pal
|
Darin McBeath
|
Brad Allen
|
Ron Daniel
|
Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks
Teresa Martin
|
Fiete Botschen
|
Ajay Nagesh
|
Andrew McCallum
|
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion
Johannes Welbl
|
Guillaume Bouchard
|
Sebastian Riedel
|
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
Vered Shwartz
|
Ido Dagan
|
Towards Never Ending Language Learning for Morphologically Rich Languages
Kseniya Buraya
|
Lidia Pivovarova
|
Sergey Budkov
|
Andrey Filchenkov
|
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion
Yelong Shen
|
Po-Sen Huang
|
Ming-Wei Chang
|
Jianfeng Gao
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Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches
Mouna Kamel
|
Cassia Trojahn
|
Adel Ghamnia
|
Nathalie Aussenac-Gilles
|
Cécile Fabre
|
Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing
Yadollah Yaghoobzadeh
|
Katharina Kann
|
Hinrich Schütze
|
Crowdsourcing Semantic Label Propagation in Relation Classification
Anca Dumitrache
|
Lora Aroyo
|
Chris Welty
|
Zero-shot Relation Classification as Textual Entailment
Abiola Obamuyide
|
Andreas Vlachos
|
Unsupervised Learning of Cross-Lingual Symbol Embeddings Without Parallel Data
Mark Granroth-Wilding
|
Hannu Toivonen
|
Fast and Large-scale Unsupervised Relation Extraction
Sho Takase
|
Naoaki Okazaki
|
Kentaro Inui
|
http://www
Field Of Study
Linguistic Trends
Lexical Semantics
Embeddings
Ontologies
Task
Information Retrieval
Relation Extraction
Language
English
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