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Reducing Wrong Labels in Distant Supervision for Relation Extraction
Shingo Takamatsu
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Issei Sato
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Hiroshi Nakagawa
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Paper Details:
Month: July
Year: 2012
Location: Jeju Island, Korea
Venue:
ACL |
Citations
URL
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction
Yang Liu
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Kang Liu
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Liheng Xu
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Jun Zhao
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Relation Classification via Convolutional Deep Neural Network
Daojian Zeng
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Kang Liu
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Siwei Lai
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Guangyou Zhou
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Jun Zhao
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Attention-Based Convolutional Neural Network for Semantic Relation Extraction
Yatian Shen
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Xuanjing Huang
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Combining Generative and Discriminative Model Scores for Distant Supervision
Benjamin Roth
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Dietrich Klakow
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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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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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AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding
Xiang Ren
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Wenqi He
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Meng Qu
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Lifu Huang
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Heng Ji
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Jiawei Han
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Put It Back: Entity Typing with Language Model Enhancement
Ji Xin
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Hao Zhu
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Xu Han
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Zhiyuan Liu
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Maosong Sun
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Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection
Meng Fang
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Trevor Cohn
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Distant Supervision for Relation Extraction with an Incomplete Knowledge Base
Bonan Min
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Ralph Grishman
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Li Wan
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Chang Wang
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David Gondek
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Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction
Wei Xu
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Raphael Hoffmann
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Le Zhao
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Ralph Grishman
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Towards Accurate Distant Supervision for Relational Facts Extraction
Xingxing Zhang
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Jianwen Zhang
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Junyu Zeng
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Jun Yan
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Zheng Chen
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Zhifang Sui
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Weakly Supervised User Profile Extraction from Twitter
Jiwei Li
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Alan Ritter
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Eduard Hovy
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Omni-word Feature and Soft Constraint for Chinese Relation Extraction
Yanping Chen
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Qinghua Zheng
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Wei Zhang
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Robust Domain Adaptation for Relation Extraction via Clustering Consistency
Minh Luan Nguyen
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Ivor W. Tsang
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Kian Ming A. Chai
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Hai Leong Chieu
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Encoding Relation Requirements for Relation Extraction via Joint Inference
Liwei Chen
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Yansong Feng
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Songfang Huang
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Yong Qin
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Dongyan Zhao
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Medical Relation Extraction with Manifold Models
Chang Wang
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James Fan
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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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Infusion of Labeled Data into Distant Supervision for Relation Extraction
Maria Pershina
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Bonan Min
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Wei Xu
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Ralph Grishman
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Improving distant supervision using inference learning
Roland Roller
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Eneko Agirre
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Aitor Soroa
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Mark Stevenson
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Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
Bingfeng Luo
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Yansong Feng
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Zheng Wang
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Zhanxing Zhu
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Songfang Huang
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Rui Yan
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Dongyan Zhao
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DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
Pengda Qin
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Weiran Xu
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William Yang Wang
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Training Classifiers with Natural Language Explanations
Braden Hancock
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Paroma Varma
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Stephanie Wang
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Martin Bringmann
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Percy Liang
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Christopher Ré
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Applying UMLS for Distantly Supervised Relation Detection
Roland Roller
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Mark Stevenson
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Seed Selection for Distantly Supervised Web-Based Relation Extraction
Isabelle Augenstein
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Held-out versus Gold Standard: Comparison of Evaluation Strategies for Distantly Supervised Relation Extraction from Medline abstracts
Roland Roller
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Mark Stevenson
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Biomedical Event Extraction using Abstract Meaning Representation
Sudha Rao
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Daniel Marcu
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Kevin Knight
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Hal Daumé III
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Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction
Gang Li
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Cathy Wu
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K. Vijay-Shanker
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http://opennlp.sourceforge.net/
http://www.cs.washington.edu/homes/raphaelh/mr/
http://download.freebase
Field Of Study
Task
Information Extraction
Relation Extraction
Approach
Generative Model
Graphical Model
Semi-supervised Learning
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