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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good. Very Good condition. Very Good dust jacket. (Cotton Gins, History) A copy that may have a few cosmetic defects. May also contain a few markings such as an owner's name, short gifter's inscription or light stamp.

Zustand: New. In English.

Paperback. Zustand: Brand New. 128 pages. 9.25x6.75x0.50 inches. In Stock.

Zustand: New. 2015. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. pp. 238.

Zustand: New. 2009. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 128 pages. 9.25x6.50x0.31 inches. In Stock.

Zustand: New.

Zustand: New. In English.

Zustand: New. pp.

Zustand: New. KlappentextThis 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.

Zustand: New. BIC Classification: UY. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - 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 now the place where linguistics hides in NLP. However, manual annotation has largely been ignored for some time, and it has taken a while even for annotation guidelines to be recognized as essential. Although some efforts have been made lately to address some of the issues presented by manual annotation, there has still been little research done on the subject. This book aims to provide some useful insights into the subject. Manual corpus annotation is now at the heart of NLP, and is still largely unexplored. There is a need for manual annotation engineering (in the sense of a precisely formalized process), and this book aims to provide a first step towards a holistic methodology, with a global view on annotation. …

Hardcover. Zustand: gut. 2016. Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects In englischer Sprache. pages.