[PDF.28pa] Semi-Supervised Learning and Domain Adaptation in Natural Language Processing (Synthesis Lectures on Human Language Technologies)

Semi-Supervised Learning and Domain Adaptation in Natural Language Processing (Synthesis Lectures on Human Language Technologies)

[PDF.iw49] Semi-Supervised Learning and Domain Adaptation in Natural Language Processing (Synthesis Lectures on Human Language Technologies)

Semi-Supervised Learning and Domain  Anders Sogaard epub
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 | #2891011 in Books |  2013-05-30 | Original language:English | PDF # 1 |  9.25 x.24 x7.50l,.43 | File type: PDF | 104 pages

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This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of su...

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