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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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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning
Isabelle Augenstein
|
Andreas Vlachos
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Diana Maynard
|
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction
Anh Tuan Luu
|
Jung-jae Kim
|
See Kiong Ng
|
TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter
Jeniya Tabassum
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Alan Ritter
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Wei Xu
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Position-aware Attention and Supervised Data Improve Slot Filling
Yuhao Zhang
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Victor Zhong
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Danqi Chen
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Gabor Angeli
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Christopher D. Manning
|
Importance sampling for unbiased on-demand evaluation of knowledge base population
Arun Chaganty
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Ashwin Paranjape
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Percy Liang
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Christopher D. Manning
|
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Lifu Huang
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Avirup Sil
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Heng Ji
|
Radu Florian
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Visual Supervision in Bootstrapped Information Extraction
Matthew Berger
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Ajay Nagesh
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Joshua Levine
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Mihai Surdeanu
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Helen Zhang
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Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
Tianyi Liu
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Xinsong Zhang
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Wanhao Zhou
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Weijia Jia
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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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Consensus Maximization Fusion of Probabilistic Information Extractors
Miguel Rodríguez
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Sean Goldberg
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Daisy Zhe Wang
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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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Unsupervised Person Slot Filling based on Graph Mining
Dian Yu
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Heng Ji
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Self-Crowdsourcing Training for Relation Extraction
Azad Abad
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Moin Nabi
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Alessandro Moschitti
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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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Crowdsourcing Semantic Label Propagation in Relation Classification
Anca Dumitrache
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Lora Aroyo
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Chris Welty
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http://nlp.stanford.edu/software/
Field Of Study
Task
Information Extraction
Information Retrieval
Relation Extraction
Language
English
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