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Exploiting Constituent Dependencies for Tree Kernel-Based Semantic Relation Extraction
Longhua Qian
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Guodong Zhou
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Fang Kong
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Qiaoming Zhu
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Peide Qian
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Paper Details:
Month: August
Year: 2008
Location: Manchester, UK
Venue:
COLING |
Citations
URL
Dependency-driven Anaphoricity Determination for Coreference Resolution
Fang Kong
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Guodong Zhou
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Longhua Qian
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Qiaoming Zhu
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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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Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
Jianfei Yu
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Jing Jiang
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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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Adversarial Feature Adaptation for Cross-lingual Relation Classification
Bowei Zou
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Zengzhuang Xu
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Yu Hong
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Guodong Zhou
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Semi-Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy
Longhua Qian
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Guodong Zhou
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Fang Kong
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Qiaoming Zhu
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Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Longhua Qian
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Guodong Zhou
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A Tree Kernel-Based Unified Framework for Chinese Zero Anaphora Resolution
Fang Kong
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Guodong Zhou
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A Walk-Based Semantically Enriched Tree Kernel Over Distributed Word Representations
Shashank Srivastava
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Dirk Hovy
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Eduard Hovy
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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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Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
Daojian Zeng
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Kang Liu
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Yubo Chen
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Jun Zhao
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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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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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Simple Large-scale Relation Extraction from Unstructured Text
Christos Christodoulopoulos
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Arpit Mittal
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Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction
Jing Jiang
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Semi-supervised Relation Extraction with Large-scale Word Clustering
Ang Sun
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Ralph Grishman
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Satoshi Sekine
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Incremental Joint Extraction of Entity Mentions and Relations
Qi Li
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Heng Ji
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Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora
Longhua Qian
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Haotian Hui
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Ya’nan Hu
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Guodong Zhou
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Qiaoming Zhu
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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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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
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Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen
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Barbara Plank
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Ralph Grishman
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OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers Using Piecewise Convolutional Neural Networks
Dushyanta Dhyani
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A Study of Convolution Tree Kernel with Local Alignment
Lidan Zhang
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Kwok-Ping Chan
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Joint Entity and Relation Extraction Using Card-Pyramid Parsing
Rohit J. Kate
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Raymond Mooney
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A Combination of Topic Models with Max-margin Learning for Relation Detection
Dingcheng Li
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Swapna Somasundaran
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Amit Chakraborty
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Identifying Metaphorical Word Use with Tree Kernels
Dirk Hovy
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Shashank Srivastava
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Sujay Kumar Jauhar
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Mrinmaya Sachan
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Kartik Goyal
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Huying Li
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Whitney Sanders
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Eduard Hovy
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Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen
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Ralph Grishman
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http://creativecommons.org/licenses/by-nc-sa/3.0/
http://www.ldc.upenn.edu/Projects/ACE/
http://ai-nlp.info.uniroma2.it/moschitti/
Field Of Study
Linguistic Trends
Discourse
Task
Relation Extraction
Language
English
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