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Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects
Karen Fort
€ 172.65
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Description for Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects
Hardback. BIC Classification: UY. Category: (P) Professional & Vocational. Weight in Grams: 666.
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 training and evaluation of the systems. These corpora have progressively become the hidden pillars of our domain, providing food for our hungry machine learning algorithms and reference for evaluation. Annotation is ... Read more
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 training and evaluation of the systems. These corpora have progressively become the hidden pillars of our domain, providing food for our hungry machine learning algorithms and reference for evaluation. Annotation is ... Read more
Product Details
Publisher
ISTE Ltd and John Wiley & Sons Inc
Format
Hardback
Publication date
2016
Condition
New
Number of Pages
192
Place of Publication
London, United Kingdom
ISBN
9781848219045
SKU
V9781848219045
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Karen Fort
Karen 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 ethics.
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