[PDF.41th] Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects (Focus Series)

Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects (Focus Series)

[PDF.wu30] Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects (Focus Series)

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 | #5066250 in Books |  2016-06-13 | Original language:English | PDF # 1 |  9.50 x.65 x6.40l,.0 | File type: PDF | 192 pages

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||About the Author||Karën Fort is Associate Professor at University Paris-Sorbonne (Paris 4) working on the STIH (meaning, text, computer science, history) team. Her current research interests include collaborative manual annotation, crowdsourcing and

This book presents a unique opportunity for constructing a consistent image of collaborative manual annotation for Natural Language Processing (NLP).  NLP has witnessed two major evolutions in the past 25 years: firstly, the extraordinary success of machine learning, which is now, for better or for worse, overwhelmingly dominant in the field, and secondly, the multiplication of evaluation campaigns or shared tasks. Both involve manually annotated corpora, for the...

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