Information Extraction: Towards Scalable, Adaptable Systems (Lecture Notes in Artificial Intelligence) Maria Teresa Pazienza, J. G. Carbonell, J. Siekmann

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Maria Teresa Pazienza, J. G. Carbonell, J. Siekmann - «Information Extraction: Towards Scalable, Adaptable Systems (Lecture Notes in Artificial Intelligence)»

О книге

Information extraction (IE) is a new technology enabling relevant content to be extracted from textual information available electronically. IE essentially builds on natural language processing and computational linguistics, but it is also closely related to the well established area of information retrieval and involves learning. In concert with other promising intelligent information processing technologies like data mining, intelligent data analysis, text summarization, and information agents, IE plays a crucial role in dealing with the vast amounts of information accessible electronically, for example from the Internet. The book is based on the Second International School on Information Extraction, SCIE-99, held in Frascati near Rome, Italy in June/July 1999. Это и многое другое вы найдете в книге Information Extraction: Towards Scalable, Adaptable Systems (Lecture Notes in Artificial Intelligence) (Maria Teresa Pazienza, J. G. Carbonell, J. Siekmann)

Полное название книги Maria Teresa Pazienza, J. G. Carbonell, J. Siekmann Information Extraction: Towards Scalable, Adaptable Systems (Lecture Notes in Artificial Intelligence)
Авторы Maria Teresa Pazienza, J. G. Carbonell, J. Siekmann
Ключевые слова искусственный интеллект, человек и языковые системы
Категории Компьютеры и Internet
ISBN 3540666257
Издательство
Год
Название транслитом information-extraction-towards-scalable-adaptable-systems-lecture-notes-in-artificial-intelligence-maria-teresa-pazienza-j-g-carbonell-j-siekmann
Название с ошибочной раскладкой information extraction: towards scalable, adaptable systems (lecture notes in artificial intelligence) maria teresa pazienza-j. g. carbonell-j. siekmann