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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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Paper Details:
Month: June
Year: 2006
Location: New York City, USA
Venue:
HLT |
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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Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach
Xiaofeng Yu
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Wai Lam
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Identifying Functional Relations in Web Text
Thomas Lin
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Mausam
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Oren Etzioni
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Relation Acquisition using Word Classes and Partial Patterns
Stijn De Saeger
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Kentaro Torisawa
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Masaaki Tsuchida
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Jun’ichi Kazama
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Chikara Hashimoto
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Ichiro Yamada
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Jong Hoon Oh
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Istvan Varga
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Yulan Yan
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Reading The Web with Learned Syntactic-Semantic Inference Rules
Ni Lao
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Amarnag Subramanya
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Fernando Pereira
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William W. Cohen
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Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Heike Adel
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Hinrich Schütze
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Structural, Transitive and Latent Models for Biographic Fact Extraction
Nikesh Garera
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David Yarowsky
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Sequence Classification with Human Attention
Maria Barrett
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Joachim Bingel
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Nora Hollenstein
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Marek Rei
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Anders Søgaard
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A Sequence Model Approach to Relation Extraction in Portuguese
Sandra Collovini
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Gabriel Machado
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Renata Vieira
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Multi-Document Relationship Fusion via Constraints on Probabilistic Databases
Gideon Mann
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Subtree Mining for Relation Extraction from Wikipedia
Dat P.T. Nguyen
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Yutaka Matsuo
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Mitsuru Ishizuka
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TextRunner: Open Information Extraction on the Web
Alexander Yates
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Michele Banko
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Matthew Broadhead
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Michael Cafarella
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Oren Etzioni
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Stephen Soderland
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The Tradeoffs Between Open and Traditional Relation Extraction
Michele Banko
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Oren Etzioni
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Generating Synthetic Comparable Questions for News Articles
Oleg Rokhlenko
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Idan Szpektor
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TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts
Martin Gluhak
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Maria Pia di Buono
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Abbas Akkasi
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Jan Šnajder
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A Link to the Past: Constructing Historical Social Networks
Matje van de Camp
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Antal van den Bosch
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IRISA participation to BioNLP-ST13: lazy-learning and information retrieval for information extraction tasks
Vincent Claveau
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http://www.wikipedia.org
http://mallet.cs.umass.edu
Field Of Study
Task
Information Extraction
Relation Extraction
Language
English
Dataset
Encyclopedia
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