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Confidence Estimation for Information Extraction
Aron Culotta
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Andrew McCallum
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Paper Details:
Month: May 2 - May 7
Year: 2004
Location: Boston, Massachusetts, USA
Venue:
HLT |
NAACL |
Citations
URL
Chinese Segmentation and New Word Detection using Conditional Random Fields
Fuchun Peng
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Fangfang Feng
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Andrew McCallum
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A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields
Yotaro Watanabe
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Masayuki Asahara
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Yuji Matsumoto
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Learning with Probabilistic Features for Improved Pipeline Models
Razvan Bunescu
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We’re Not in Kansas Anymore: Detecting Domain Changes in Streams
Mark Dredze
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Tim Oates
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Christine Piatko
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Confidence in Structured-Prediction Using Confidence-Weighted Models
Avihai Mejer
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Koby Crammer
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Joint Mention Extraction and Classification with Mention Hypergraphs
Wei Lu
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Dan Roth
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Named Entity Recognition in the Medical Domain with Constrained CRF Models
Charles Jochim
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Léa Deleris
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Towards Automated Semantic Analysis on Biomedical Research Articles
Donghui Feng
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Gully Burns
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Jingbo Zhu
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Eduard Hovy
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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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NER Systems that Suit User’s Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction
Einat Minkov
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Richard Wang
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Anthony Tomasic
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William Cohen
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The Tradeoffs Between Open and Traditional Relation Extraction
Michele Banko
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Oren Etzioni
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Reducing the Annotation Effort for Letter-to-Phoneme Conversion
Kenneth Dwyer
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Grzegorz Kondrak
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Conditional Random Fields for Word Hyphenation
Nikolaos Trogkanis
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Charles Elkan
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Confidence Driven Unsupervised Semantic Parsing
Dan Goldwasser
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Roi Reichart
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James Clarke
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Dan Roth
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Weakly Supervised Learning Methods for Improving the Quality of Gene Name Normalization Data
Ben Wellner
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Character Language Models for Chinese Word Segmentation and Named Entity Recognition
Bob Carpenter
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Active Annotation
Andreas Vlachos
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Cascaded Classifiers for Confidence-Based Chemical Named Entity Recognition
Peter Corbett
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Ann Copestake
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Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser
Roi Reichart
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Ari Rappoport
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A Simple Semi-supervised Algorithm For Named Entity Recognition
Wenhui Liao
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Sriharsha Veeramachaneni
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Assessment of Utility in Web Mining for the Domain of Public Health
Peter von Etter
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Silja Huttunen
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Arto Vihavainen
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Matti Vuorinen
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Roman Yangarber
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Towards Confidence Estimation for Typed Protein-Protein Relation Extraction
Camilo Thorne
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Roman Klinger
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No URLs Found
Field Of Study
Task
Tagging
Chunking
Information Extraction
Information Retrieval
Machine Translation
Language
English
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