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Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem
Woodley Packard
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Emily M. Bender
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Jonathon Read
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Stephan Oepen
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Rebecca Dridan
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection
Olga Zamaraeva
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Kristen Howell
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Adam Rhine
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Resources for building applications with Dependency Minimal Recursion Semantics
Ann Copestake
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Guy Emerson
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Michael Wayne Goodman
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Matic Horvat
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Alexander Kuhnle
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Ewa Muszyńska
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Neural Networks For Negation Scope Detection
Federico Fancellu
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Adam Lopez
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Bonnie Webber
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Linguistically Regularized LSTM for Sentiment Classification
Qiao Qian
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Minlie Huang
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Jinhao Lei
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Xiaoyan Zhu
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Learning with Structured Representations for Negation Scope Extraction
Hao Li
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Wei Lu
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Improvement of a Naive Bayes Sentiment Classifier Using MRS-Based Features
Jared Kramer
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Clara Gordon
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UW-MRS: Leveraging a Deep Grammar for Robotic Spatial Commands
Woodley Packard
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Semantic Parsing for Textual Entailment
Elisabeth Lien
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Milen Kouylekov
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Universal Dependencies to Logical Form with Negation Scope
Federico Fancellu
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Siva Reddy
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Adam Lopez
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Bonnie Webber
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An open-source tool for negation detection: a maximum-margin approach
Martine Enger
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Erik Velldal
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Lilja Øvrelid
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http://www.delph-in.net
Field Of Study
Linguistic Trends
Discourse
Syntax
Task
Language Understanding
Sentiment Analysis
Biomedical
Language
English
Dataset
Encyclopedia
Biomedical Texts
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