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Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
Truc-Vien T. Nguyen
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Alessandro Moschitti
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Giuseppe Riccardi
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Paper Details:
Month: August
Year: 2009
Location: Singapore
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Combining Constituent and Dependency Syntactic Views for Chinese Semantic Role Labeling
Shiqi Li
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Qin Lu
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Tiejun Zhao
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Pengyuan Liu
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Hanjing Li
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Kernel-based Reranking for Named-Entity Extraction
Truc-Vien T. Nguyen
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Alessandro Moschitti
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Giuseppe Riccardi
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An Error Analysis Tool for Natural Language Processing and Applied Machine Learning
Apoorv Agarwal
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Ankit Agarwal
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Deepak Mittal
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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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Automatic Detection and Classification of Social Events
Apoorv Agarwal
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Owen Rambow
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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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Frame Semantic Tree Kernels for Social Network Extraction from Text
Apoorv Agarwal
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Sriramkumar Balasubramanian
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Anup Kotalwar
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Jiehan Zheng
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Owen Rambow
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Convolution Kernels for Opinion Holder Extraction
Michael Wiegand
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Dietrich Klakow
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evision PDF of 'Open Information Extraction with Tree Kernels
Ying Xu
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Mi-Young Kim
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Kevin Quinn
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Randy Goebel
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Denilson Barbosa
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End-to-End Relation Extraction Using Distant Supervision from External Semantic Repositories
Truc-Vien T. Nguyen
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Alessandro Moschitti
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Social Network Extraction from Texts: A Thesis Proposal
Apoorv Agarwal
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Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification
Zhaopeng Tu
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Yifan He
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Jennifer Foster
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Josef van Genabith
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Qun Liu
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Shouxun Lin
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Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction
Barbara Plank
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Alessandro Moschitti
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Medical Relation Extraction with Manifold Models
Chang Wang
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James Fan
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Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization
Xuezhe Ma
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Fei Xia
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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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A Convolution Kernel Approach to Identifying Comparisons in Text
Maksim Tkachenko
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Hady Lauw
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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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Stack-Pointer Networks for Dependency Parsing
Xuezhe Ma
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Zecong Hu
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Jingzhou Liu
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Nanyun Peng
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Graham Neubig
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Eduard Hovy
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Syntactic and Semantic Structure for Opinion Expression Detection
Richard Johansson
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Alessandro Moschitti
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On Reverse Feature Engineering of Syntactic Tree Kernels
Daniele Pighin
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Alessandro Moschitti
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A Study on Dependency Tree Kernels for Automatic Extraction of Protein-Protein Interaction
Faisal Md. Chowdhury
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Alberto Lavelli
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Alessandro Moschitti
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Validating Literary Theories Using Automatic Social Network Extraction
Prashant Jayannavar
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Apoorv Agarwal
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Melody Ju
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Owen Rambow
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Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen
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Ralph Grishman
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Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016
Farrokh Mehryary
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Jari Björne
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Sampo Pyysalo
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Tapio Salakoski
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Filip Ginter
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UHH Submission to the WMT17 Quality Estimation Shared Task
Melania Duma
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Wolfgang Menzel
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UHH Submission to the WMT17 Metrics Shared Task
Melania Duma
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Wolfgang Menzel
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http://www.livememories.org/
http://www.expertsystem.net/
http://www.ldc.upenn.edu/Projects/ACE/
http://disi.unitn.it/moschitt/Tree-Kernel.htm
Field Of Study
Task
Relation Extraction
Language
English
Dataset
News
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