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Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging
Yuta Tsuboi
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala
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Cong Bao
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Character-Level Feature Extraction with Densely Connected Networks
Chanhee Lee
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Young-Bum Kim
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Dongyub Lee
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Heuiseok Lim
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Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing
Meishan Zhang
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Yue Zhang
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Redefining part-of-speech classes with distributional semantic models
Andrey Kutuzov
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Erik Velldal
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Lilja Øvrelid
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Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl
Alexander Panchenko
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Eugen Ruppert
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Stefano Faralli
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Simone P. Ponzetto
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Chris Biemann
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Dynamic Feature Induction: The Last Gist to the State-of-the-Art
Jinho D. Choi
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Right-truncatable Neural Word Embeddings
Jun Suzuki
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Masaaki Nagata
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Neural CRF Parsing
Greg Durrett
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Dan Klein
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Orthogonality of Syntax and Semantics within Distributional Spaces
Jeff Mitchell
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Mark Steedman
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Learning Word Meta-Embeddings
Wenpeng Yin
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Hinrich Schütze
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Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks
Suzushi Tomori
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Takashi Ninomiya
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Shinsuke Mori
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Parser Adaptation to the Biomedical Domain without Re-Training
Jeff Mitchell
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Mark Steedman
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Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors
Jeff Mitchell
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http://nlp.stanford.edu/software/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Syntactic Parsing
Language
English
Dataset
News
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