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ConText: An Algorithm for Identifying Contextual Features from Clinical Text
Wendy Chapman
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John Dowling
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David Chu
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Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
WS |
Citations
URL
Uncertainty Detection in Hungarian Texts
Veronika Vincze
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Learning Local Content Shift Detectors from Document-level Information
Richárd Farkas
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Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter
Eiji ARAMAKI
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Sachiko MASKAWA
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Mizuki MORITA
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Cross-Genre and Cross-Domain Detection of Semantic Uncertainty
György Szarvas
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Veronika Vincze
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Richárd Farkas
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György Móra
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Iryna Gurevych
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Improving Classification of Medical Assertions in Clinical Notes
Youngjun Kim
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Ellen Riloff
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Stéphane Meystre
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Temporal Annotation of Clinical Text
Danielle Mowery
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Henk Harkema
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Wendy Chapman
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TEXT2TABLE: Medical Text Summarization System Based on Named Entity Recognition and Modality Identification
Eiji Aramaki
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Yasuhide Miura
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Masatsugu Tonoike
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Tomoko Ohkuma
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Hiroshi Mashuichi
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Kazuhiko Ohe
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The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
Richárd Farkas
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Veronika Vincze
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György Móra
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János Csirik
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György Szarvas
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Analyzing Patient Records to Establish If and When a Patient Suffered from a Medical Condition
James Cogley
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Nicola Stokes
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Joe Carthy
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John Dunnion
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Detecting Uncertainty Cues in Hungarian Social Media Texts
Veronika Vincze
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Unsupervised Domain Adaptation for Clinical Negation Detection
Timothy Miller
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Steven Bethard
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Hadi Amiri
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Guergana Savova
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http://gate.ac.uk/
http://web.cbmi.pitt.edu/chapman/ConText.html
http://gate.ac.uk/
Field Of Study
Linguistic Trends
Syntax
Task
Information Retrieval
Biomedical
Language
English
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