[PDF.19cv] Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches

Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches

[PDF.dl27] Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches

Cross-Disciplinary Advances in Applied  Chutima Boonthum-Denecke, Philip M. McCarthy, Travis Lamkin epub
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 | #11669990 in Books |  IGI Global |  2011-12-31 | Original language:English | PDF # 1 |  11.02 x1.00 x8.50l,2.73 | File type: PDF | 498 pages

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|| |The current book needs to be seen not just as an inventory of what constitutes ANLP, or what researchers in ANLP are doing, it should also be seen as an opportunity for researchers and enthusiasts to consider how their work can be applied to industry, or for t

Applied Natural Language Processing (ANLP) is interested in not only the creation of natural language processing approaches (i.e., tools, systems, algorithms, models, theories, and techniques), but it is also (and, arguably, more specifically) interested in how those approaches stack up against new problems, issues, identified knowledge gaps, or created data sets.

Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches defines t...

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