Compartir
trends in parsing technology: dependency parsing, domain adaptation, and deep parsing (en Inglés)
Paola Merlo
(Ilustrado por)
·
Harry Bunt
(Ilustrado por)
·
Joakim Nivre
(Ilustrado por)
·
Springer
· Tapa Blanda
trends in parsing technology: dependency parsing, domain adaptation, and deep parsing (en Inglés) - Bunt, Harry ; Merlo, Paola ; Nivre, Joakim
$ 124.590
$ 249.170
Ahorras: $ 124.580
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Viernes 31 de Mayo y el
Miércoles 12 de Junio.
Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.
Reseña del libro "trends in parsing technology: dependency parsing, domain adaptation, and deep parsing (en Inglés)"
Parsing technology is a central area of research in the automatic processing of human language. It is concerned with the decomposition of complex structures into their constituent parts, in particular with the methods, the tools and the software to parse automatically. Parsers are used in many application areas, such as information extraction from free text or speech, question answering, speech recognition and understanding, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable. This book collects contributions from leading researchers in the area of natural language processing technology, describing their recent work and a range of new techniques and results. The book presents a state-of-the-art overview of current research in parsing tehcnologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing. This book is the fourth in a line of such collections, and its breadth over coverage should make it suitable both as an overview of the state of the field for graduate students, and as a reference for established researchers in Computational Linguistics, Artificial Intelligence, Computer Science, Language Engineering, Information Science, and Cognitive Science. It will also be of interest to designers, developers, and advanced users of nautral language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.
