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A Systematic Exploration of the Feature Space for Relation Extraction
Jing Jiang
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ChengXiang Zhai
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Paper Details:
Month: April
Year: 2007
Location: Rochester, New York
Venue:
NAACL |
Citations
URL
Exploiting Background Knowledge for Relation Extraction
Yee Seng Chan
|
Dan Roth
|
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
Jianfei Yu
|
Jing Jiang
|
Relation Extraction with Relation Topics
Chang Wang
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James Fan
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Aditya Kalyanpur
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David Gondek
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End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang
|
Yue Zhang
|
Guohong Fu
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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
|
N-ary Relation Extraction using Graph-State LSTM
Linfeng Song
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Yue Zhang
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Zhiguo Wang
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Daniel Gildea
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Compensating for Annotation Errors in Training a Relation Extractor
Bonan Min
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Ralph Grishman
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End-to-end Relation Extraction using Neural Networks and Markov Logic Networks
Sachin Pawar
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Pushpak Bhattacharyya
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Girish Palshikar
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A Re-examination of Dependency Path Kernels for Relation Extraction
Mengqiu Wang
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Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks
Bonan Min
|
Zhuolin Jiang
|
Marjorie Freedman
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Ralph Weischedel
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Exploiting the Role of Position Feature in Chinese Relation Extraction
Peng Zhang
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Wenjie Li
|
Furu Wei
|
Qin Lu
|
Yuexian Hou
|
Simple Large-scale Relation Extraction from Unstructured Text
Christos Christodoulopoulos
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Arpit Mittal
|
Chinese Relation Classification using Long Short Term Memory Networks
Linrui Zhang
|
Dan Moldovan
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Distant Supervision for Relation Extraction with an Incomplete Knowledge Base
Bonan Min
|
Ralph Grishman
|
Li Wan
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Chang Wang
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David Gondek
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A Novel Feature-based Approach to Chinese Entity Relation Extraction
Wenjie Li
|
Peng Zhang
|
Furu Wei
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Yuexian Hou
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Qin Lu
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Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction
Jing Jiang
|
Open Information Extraction Using Wikipedia
Fei Wu
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Daniel S. Weld
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Semi-supervised Relation Extraction with Large-scale Word Clustering
Ang Sun
|
Ralph Grishman
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Satoshi Sekine
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Exploiting Syntactico-Semantic Structures for Relation Extraction
Yee Seng Chan
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Dan Roth
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An Error Analysis of Relation Extraction in Social Media Documents
Gregory Brown
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Incremental Joint Extraction of Entity Mentions and Relations
Qi Li
|
Heng Ji
|
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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A Feature-Enriched Tree Kernel for Relation Extraction
Le Sun
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Xianpei Han
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Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
Thien Huu Nguyen
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Ralph Grishman
|
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen
|
Barbara Plank
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Ralph Grishman
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NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
Behrouz Bokharaeian
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Alberto Díaz
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NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers
Biswanath Barik
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Utpal Kumar Sikdar
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Björn Gambäck
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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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Using Automated Feature Optimisation to Create an Adaptable Relation Extraction System
Barry Haddow
|
Exploring Deep Belief Network for Chinese Relation Extraction
Yu Chen
|
Wenjie Li
|
Yan Liu
|
Dequan Zheng
|
Tiejun Zhao
|
A Combination of Topic Models with Max-margin Learning for Relation Detection
Dingcheng Li
|
Swapna Somasundaran
|
Amit Chakraborty
|
Identifying Untyped Relation Mentions in a Corpus given an Ontology
Gabor Melli
|
Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen
|
Ralph Grishman
|
http://ai-nlp.info.uniroma2.it/moschitti/Tree-Kernel.htm
Field Of Study
Task
Tagging
Information Extraction
Relation Extraction
Biomedical
Approach
Kernel Method
Language
English
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