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Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction
Nanda Kambhatla
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Paper Details:
Month: July
Year: 2004
Location: Barcelona, Spain
Venue:
ACL |
Citations
URL
An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features
Xiaofeng Yu
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Wai Lam
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Exploiting Background Knowledge for Relation Extraction
Yee Seng Chan
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Dan Roth
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A Cross-lingual Annotation Projection Approach for Relation Detection
Seokhwan Kim
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Minwoo Jeong
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Jonghoon Lee
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Gary Geunbae Lee
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Recognizing Relation Expression between Named Entities based on Inherent and Context-dependent Features of Relational words
Toru Hirano
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Hisako Asano
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Yoshihiro Matsuo
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Genichiro Kikui
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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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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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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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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
|
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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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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Structured Relation Discovery using Generative Models
Limin Yao
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Aria Haghighi
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Sebastian Riedel
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Andrew McCallum
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A convex relaxation for weakly supervised relation extraction
Édouard Grave
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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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Detection of Entity Mentions Occuring in English and Chinese Text
Kadri Hacioglu
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Benjamin Douglas
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Ying Chen
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Discovering Relations Between Named Entities from a Large Raw Corpus Using Tree Similarity-Based Clustering
Min Zhang
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Jian Su
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Danmei Wang
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Guodong Zhou
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Chew Lim Tan
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A Semantic Feature for Relation Recognition Using a Web-based Corpus
Chen-Ming Hung
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A Re-examination of Dependency Path Kernels for Relation Extraction
Mengqiu Wang
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Exploiting the Role of Position Feature in Chinese Relation Extraction
Peng Zhang
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Wenjie Li
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Furu Wei
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Qin Lu
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Yuexian Hou
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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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Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text
Aron Culotta
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Andrew McCallum
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Jonathan Betz
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Semi-supervised Relation Extraction with Label Propagation
Jinxiu Chen
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Donghong Ji
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Chew Lim Tan
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Zhengyu Niu
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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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Exploiting Rich Syntactic Information for Relationship Extraction from Biomedical Articles
Yudong Liu
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Zhongmin Shi
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Anoop Sarkar
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Distant Supervision for Relation Extraction with an Incomplete Knowledge Base
Bonan Min
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Ralph Grishman
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Li Wan
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Chang Wang
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David Gondek
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Improving Name Tagging by Reference Resolution and Relation Detection
Heng Ji
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Ralph Grishman
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Extracting Relations with Integrated Information Using Kernel Methods
Shubin Zhao
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Ralph Grishman
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Exploring Various Knowledge in Relation Extraction
GuoDong Zhou
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Jian Su
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Jie Zhang
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Min Zhang
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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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Relation Extraction Using Label Propagation Based Semi-Supervised Learning
Jinxiu Chen
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Donghong Ji
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Chew Lim Tan
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Zhengyu Niu
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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
|
GuoDong Zhou
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Unsupervised Relation Disambiguation Using Spectral Clustering
Jinxiu Chen
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Donghong Ji
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Chew Lim Tan
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Zhengyu Niu
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Minority Vote: At-Least-N Voting Improves Recall for Extracting Relations
Nanda Kambhatla
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Detecting Semantic Relations between Named Entities in Text Using Contextual Features
Toru Hirano
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Yoshihiro Matsuo
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Genichiro Kikui
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A Novel Feature-based Approach to Chinese Entity Relation Extraction
Wenjie Li
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Peng Zhang
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Furu Wei
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Yuexian Hou
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Qin Lu
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Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
Yulan Yan
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Naoaki Okazaki
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Yutaka Matsuo
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Zhenglu Yang
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Mitsuru Ishizuka
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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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Exploiting Syntactico-Semantic Structures for Relation Extraction
Yee Seng Chan
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Dan Roth
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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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A Graph-based Cross-lingual Projection Approach for Weakly Supervised Relation Extraction
Seokhwan Kim
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Gary Geunbae Lee
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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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Medical Relation Extraction with Manifold Models
Chang Wang
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James Fan
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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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Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Hany Hassan
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Ahmed Hassan
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Ossama Emam
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Unsupervised Relation Disambiguation with Order Identification Capabilities
Jinxiu Chen
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Donghong Ji
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Chew Lim Tan
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Zhengyu Niu
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Learning Field Compatibilities to Extract Database Records from Unstructured Text
Michael Wick
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Aron Culotta
|
Andrew McCallum
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A Probabilistic Search for the Best Solution Among Partially Completed Candidates
Filip Ginter
|
Aleksandr Mylläri
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Tapio Salakoski
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Graph Based Semi-Supervised Approach for Information Extraction
Hany Hassan
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Ahmed Hassan
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Sara Noeman
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A Hybrid Approach to Unsupervised Relation Discovery Based on Linguistic Analysis and Semantic Typing
Zareen Syed
|
Evelyne Viegas
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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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Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules
Slavko Žitnik
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Marinka Žitnik
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Blaž Zupan
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Marko Bajec
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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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