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Combining Recurrent and Convolutional Neural Networks for Relation Classification
Ngoc Thang Vu
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Heike Adel
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Pankaj Gupta
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Hinrich Schütze
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
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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Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
Jianfei Yu
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Jing Jiang
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Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
Pankaj Gupta
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Hinrich Schütze
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Bernt Andrassy
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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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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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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
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Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
Yuanliang Meng
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Anna Rumshisky
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Alexey Romanov
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Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Heike Adel
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Hinrich Schütze
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End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang
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Yue Zhang
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Guohong Fu
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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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Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Kim Anh Nguyen
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Sabine Schulte im Walde
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Ngoc Thang Vu
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Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network
Changzhi Sun
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Yuanbin Wu
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Man Lan
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Shiliang Sun
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Qi Zhang
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Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm
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Glorianna Jagfeld
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Ekta Sood
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Xiang Yu
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Ngoc Thang Vu
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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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Joint Bootstrapping Machines for High Confidence Relation Extraction
Pankaj Gupta
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Benjamin Roth
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Hinrich Schütze
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Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time
Pankaj Gupta
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Subburam Rajaram
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Hinrich Schütze
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Bernt Andrassy
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Improved Neural Relation Detection for Knowledge Base Question Answering
Mo Yu
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Wenpeng Yin
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Kazi Saidul Hasan
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Cicero dos Santos
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Bing Xiang
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Bowen Zhou
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A General-Purpose Tagger with Convolutional Neural Networks
Xiang Yu
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Agnieszka Falenska
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Ngoc Thang Vu
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Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts
Pankaj Gupta
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Bernt Andrassy
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Hinrich Schütze
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LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation
Pankaj Gupta
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Hinrich Schütze
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Approach
Deep Learning
Language
English
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