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Extracting Relations with Integrated Information Using Kernel Methods
Shubin Zhao
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Ralph Grishman
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Paper Details:
Month: June
Year: 2005
Location: Ann Arbor, Michigan
Venue:
ACL |
Citations
URL
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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Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
Bing Liu
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Longhua Qian
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Hongling Wang
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Guodong Zhou
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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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Instance Based Lexical Entailment for Ontology Population
Claudio Giuliano
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Alfio Gliozzo
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Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information
GuoDong Zhou
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Min Zhang
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Dong Hong Ji
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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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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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Open Language Learning for Information Extraction
Mausam
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Michael Schmitz
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Stephen Soderland
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Robert Bart
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Oren Etzioni
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Joint Inference for Knowledge Base Population
Liwei Chen
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Yansong Feng
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Jinghui Mo
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Songfang Huang
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Dongyan 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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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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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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Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
Claudio Giuliano
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Alberto Lavelli
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Lorenza Romano
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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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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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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
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Zhuolin Jiang
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Marjorie Freedman
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Ralph Weischedel
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Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel
Min Zhang
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Jie Zhang
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Jian Su
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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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Kernel-Based Pronoun Resolution with Structured Syntactic Knowledge
Xiaofeng Yang
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Jian Su
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Chew Lim Tan
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Modeling Commonality among Related Classes in Relation Extraction
GuoDong Zhou
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Jian Su
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Min Zhang
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A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
Min Zhang
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Jie Zhang
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Jian Su
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GuoDong Zhou
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Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction
Jing Jiang
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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
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Ralph Grishman
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Satoshi Sekine
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Towards Accurate Distant Supervision for Relational Facts Extraction
Xingxing Zhang
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Jianwen Zhang
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Junyu Zeng
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Jun Yan
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Zheng Chen
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Zhifang Sui
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Incremental Joint Extraction of Entity Mentions and Relations
Qi Li
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Heng Ji
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Omni-word Feature and Soft Constraint for Chinese Relation Extraction
Yanping Chen
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Qinghua Zheng
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Wei Zhang
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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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Encoding Relation Requirements for Relation Extraction via Joint Inference
Liwei Chen
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Yansong Feng
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Songfang Huang
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Yong Qin
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Dongyan Zhao
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Medical Relation Extraction with Manifold Models
Chang Wang
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James Fan
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A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia
Seokhwan Kim
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Rafael E. Banchs
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Haizhou Li
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A Feature-Enriched Tree Kernel for Relation Extraction
Le Sun
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Xianpei Han
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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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UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications
Thorsten Keiper
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Zhonghao Lyu
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Sara Pooladzadeh
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Yuan Xu
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Jingyi Zhang
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Anne Lauscher
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Simone Paolo Ponzetto
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N-ary Biographical Relation Extraction using Shortest Path Dependencies
Gitansh Khirbat
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Jianzhong Qi
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Rui Zhang
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Constituent Parsing by Classification
Joseph Turian
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I. Dan Melamed
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Towards Large-scale Non-taxonomic Relation Extraction: Estimating the Precision of Rote Extractors
Enrique Alfonseca
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Maria Ruiz-Casado
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Manabu Okumura
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Pablo Castells
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A hybrid approach for extracting semantic relations from texts
Lucia Specia
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Enrico Motta
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Automatic Construction of Predicate-argument Structure Patterns for Biomedical Information Extraction
Akane Yakushiji
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Yusuke Miyao
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Tomoko Ohta
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Yuka Tateisi
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Jun’ichi Tsujii
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Expanding the Recall of Relation Extraction by Bootstrapping
Junji Tomita
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Stephen Soderland
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Oren Etzioni
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Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline
Razvan Bunescu
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Raymond Mooney
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Arun Ramani
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Edward Marcotte
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Relation detection between named entities: report of a shared task
Cláudia Freitas
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Diana Santos
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Cristina Mota
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Hugo Gonçalo Oliveira
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Paula Carvalho
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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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Automatic Wayang Ontology Construction using Relation Extraction from Free Text
Hadaiq Sanabila
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Ruli Manurung
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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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Integrating Word Embedding Offsets into the Espresso System for Part-Whole Relation Extraction
Van-Thuy Phi
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Yuji Matsumoto
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http://www.itl.nist.gov/iad/894.01/tests/ace/
http://www.ldc.upenn.edu/Projects/ACE/
http://www.nist.gov/speech/tests/ace/ace04/software.htm
Field Of Study
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Semantic Similarity
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