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A Novel Use of Statistical Parsing to Extract Information from Text
Scott Miller
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Heidi Fox
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Lance Ramshaw
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Ralph Weischedel
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Paper Details:
Year: 2000
Venue:
ANLP |
NAACL |
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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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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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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Experiments in Multi-Modal Automatic Content Extraction
Lance Ramshaw
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Elizabeth Boschee
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Sergey Bratus
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Scott Miller
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Rebecca Stone
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Ralph Weischedel
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Alex Zamanian
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FactBrowser Demonstration
Scott Miller
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Sergey Bratus
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Lance Ramshaw
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Ralph Weischedel
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Alex Zamanian
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A Methodology for Extrinsically Evaluating Information Extraction Performance
Michael Crystal
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Alex Baron
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Katherine Godfrey
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Linnea Micciulla
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Yvette Tenney
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Ralph Weischedel
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Composition of Conditional Random Fields for Transfer Learning
Charles Sutton
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Andrew McCallum
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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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Automatic Labeling of Semantic Roles
Daniel Gildea
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Daniel Jurafsky
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Head-Driven Statistical Models for Natural Language Parsing
Michael Collins
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Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT
Kathryn Baker
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Michael Bloodgood
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Bonnie J. Dorr
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Chris Callison-Burch
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Nathaniel W. Filardo
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Christine Piatko
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Lori Levin
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Scott Miller
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Instance-Based Natural Language Generation
Sebastian Varges
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Chris Mellish
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Speed and Accuracy in Shallow and Deep Stochastic Parsing
Ron Kaplan
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Stefan Riezler
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Tracy H. King
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John T. Maxwell III
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Alex Vasserman
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Richard Crouch
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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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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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Simultaneous Identification of Biomedical Named-Entity and Functional Relation Using Statistical Parsing Techniques
Zhongmin Shi
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Anoop Sarkar
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Fred Popowich
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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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Dependency Tree Kernels for Relation Extraction
Aron Culotta
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Jeffrey Sorensen
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Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction
Nanda Kambhatla
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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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Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
Ryan McDonald
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Fernando Pereira
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Seth Kulick
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Scott Winters
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Yang Jin
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Pete White
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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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Expressing Implicit Semantic Relations without Supervision
Peter D. Turney
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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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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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Structured Models for Fine-to-Coarse Sentiment Analysis
Ryan McDonald
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Kerry Hannan
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Tyler Neylon
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Mike Wells
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Jeff Reynar
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Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
Jenny Rose Finkel
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Christopher D. Manning
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Joint Syntactic and Semantic Parsing of Chinese
Junhui Li
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Guodong Zhou
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Hwee Tou Ng
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Medical Relation Extraction with Manifold Models
Chang Wang
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James Fan
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Information Extraction Using the Structured Language Model
Ciprian Chelba
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Milind Mahajan
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Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation
Bonnie Dorr
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David Zajic
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Richard Schwartz
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Parallel Entity and Treebank Annotation
Ann Bies
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Seth Kulick
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Mark Mandel
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A Statistical Semantic Parser that Integrates Syntax and Semantics
Ruifang Ge
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Raymond Mooney
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Joint Parsing and Semantic Role Labeling
Charles Sutton
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Andrew McCallum
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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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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
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Andrew McCallum
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On the Complexity of Non-Projective Data-Driven Dependency Parsing
Ryan McDonald
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Giorgio Satta
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Semantic Parsing for High-Precision Semantic Role Labelling
Paola Merlo
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Gabriele Musillo
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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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IRISA participation to BioNLP-ST13: lazy-learning and information retrieval for information extraction tasks
Vincent Claveau
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Tagging
Chunking
Information Extraction
Information Retrieval
Language
English
Dataset
News
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