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A Dependency-Based Neural Network for Relation Classification
Yang Liu
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Furu Wei
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Sujian Li
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Heng Ji
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Ming Zhou
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Houfeng Wang
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
A Unified Architecture for Semantic Role Labeling and Relation Classification
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Jun Xu
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Improved relation classification by deep recurrent neural networks with data augmentation
Yan Xu
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Ran Jia
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Lili Mou
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Ge Li
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Yunchuan Chen
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Yangyang Lu
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Zhi Jin
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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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Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
Jianfei Yu
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Jing Jiang
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Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences
Shiou Tian Hsu
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Mandar Chaudhary
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Nagiza Samatova
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Neural Relation Classification with Text Descriptions
Feiliang Ren
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Di Zhou
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Zhihui Liu
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Yongcheng Li
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Rongsheng Zhao
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Yongkang Liu
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Xiaobo Liang
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Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
Kun Xu
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Yansong Feng
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Songfang Huang
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Dongyan Zhao
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Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley
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Mo Yu
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Mark Dredze
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A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification
Yunlun Yang
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Yunhai Tong
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Shulei Ma
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Zhi-Hong Deng
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Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation
Toshiaki Nakazawa
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John Richardson
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Sadao Kurohashi
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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
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Radu Florian
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Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Yuhao Zhang
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Peng Qi
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Christopher D. Manning
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Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
An Nguyen Le
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Ander Martinez
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Akifumi Yoshimoto
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Yuji Matsumoto
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Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging
Boliang Zhang
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Di Lu
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Xiaoman Pan
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Ying Lin
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Halidanmu Abudukelimu
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Heng Ji
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Kevin Knight
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Expectation-Regulated Neural Model for Event Mention Extraction
Ching-Yun Chang
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Zhiyang Teng
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Yue Zhang
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Embedding Lexical Features via Low-Rank Tensors
Mo Yu
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Mark Dredze
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Raman Arora
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Matthew R. Gormley
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Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text
Ji Wen
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Xu Sun
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Xuancheng Ren
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Qi Su
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Bidirectional Recurrent Convolutional Neural Network for Relation Classification
Rui Cai
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Xiaodong Zhang
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Houfeng Wang
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Neural Semantic Role Labeling with Dependency Path Embeddings
Michael Roth
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Mirella Lapata
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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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A Walk-based Model on Entity Graphs for Relation Extraction
Fenia Christopoulou
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Makoto Miwa
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Sophia Ananiadou
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SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers
Farhad Nooralahzadeh
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Lilja Øvrelid
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Jan Tore Lønning
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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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Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction
Joël Legrand
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Yannick Toussaint
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Chedy Raïssi
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Adrien Coulet
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https://code.google.com/p/word2vec/
Field Of Study
Linguistic Trends
Embeddings
Task
Chunking
Social Science
Approach
Deep Learning
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