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Book Reviews: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders Søgaard
George Foster
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Paper Details:
Month: June
Year: 2014
Venue:
CL |
Citations
URL
Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse
Ivan Habernal
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Iryna Gurevych
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Adapting a part-of-speech tagset to non-standard text: The case of STTS
Heike Zinsmeister
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Ulrich Heid
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Kathrin Beck
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Different Flavors of GUM: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality
Amir Zeldes
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Dan Simonson
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Toward Pan-Slavic NLP: Some Experiments with Language Adaptation
Serge Sharoff
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Hybrid Method of Semi-supervised Learning and Feature Weighted Learning for Domain Adaptation of Document Classification
Hiroyuki Shinnou
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Liying Xiao
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Minoru Sasaki
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Kanako Komiya
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Unsupervised Domain Adaptation for Word Sense Disambiguation using Stacked Denoising Autoencoder
Kazuhei Kouno
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Hiroyuki Shinnou
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Minoru Sasaki
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Kanako Komiya
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