Share

Foundational Issues in Natural Language Processing

Download Foundational Issues in Natural Language Processing PDF Online Free

Author :
Release : 1991
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Foundational Issues in Natural Language Processing by : Peter Sells

Download or read book Foundational Issues in Natural Language Processing written by Peter Sells. This book was released on 1991. Available in PDF, EPUB and Kindle. Book excerpt: Four separate essays address the complex and difficult connections among grammatical theory, mathematical linguistics, and the operation of real natural-language-processing systems, both human and electronic.William Rounds, Avarind Joshi, Janet Fodor, and Robert Berwick are leading scholars in the multidisciplinary field of natural language processing. In four separate essays they address the complex and difficult connections among grammatical theory, mathematical linguistics, and the operation of real natural-language-processing systems, both human and electronic. The editors' substantial introduction details the progress and problems involved in attempts to relate these four areas of research. William Rounds discusses the relevance of complexity results to linguistics and computational linguistics, providing useful caveats about how results might be misinterpreted and pointing out promising avenues of future research. Avarind Joshi (with K. Vijay-Shanker and David Weir) surveys results showing the equivalence of several different grammatical formalisms, all of which are mildly context-sensitive, with special attention to variants of tree adjoining grammar. Janet Fodor discusses how psycholinguistic results can bear on the choice among competing grammatical theories, surveying a number of recent experiments and their relevance to issues in grammatical theory. Robert Berwick considers the relationship between issues in linguistic theory and the construction of computational parsing systems, in particular the question of what it means to implement a theory of grammar in a computational system. He argues for the advantages of a principle-based approach over a rule-based one, and surveys several recent parsing systems based on the theory of government and binding.

Natural Language Processing as a Foundation of the Semantic Web

Download Natural Language Processing as a Foundation of the Semantic Web PDF Online Free

Author :
Release : 2009
Genre : Computers
Kind : eBook
Book Rating : 100/5 ( reviews)

GET EBOOK


Book Synopsis Natural Language Processing as a Foundation of the Semantic Web by : Yorick Wilks

Download or read book Natural Language Processing as a Foundation of the Semantic Web written by Yorick Wilks. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: Looks at how Natural language Processing underpins the Semantic Web, including its initial construction from unstructured sources like the World Wide Web.

Foundations of Statistical Natural Language Processing

Download Foundations of Statistical Natural Language Processing PDF Online Free

Author :
Release : 1999-05-28
Genre : Language Arts & Disciplines
Kind : eBook
Book Rating : 795/5 ( reviews)

GET EBOOK


Book Synopsis Foundations of Statistical Natural Language Processing by : Christopher Manning

Download or read book Foundations of Statistical Natural Language Processing written by Christopher Manning. This book was released on 1999-05-28. Available in PDF, EPUB and Kindle. Book excerpt: Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

Foundation Models for Natural Language Processing

Download Foundation Models for Natural Language Processing PDF Online Free

Author :
Release : 2023-05-23
Genre : Computers
Kind : eBook
Book Rating : 902/5 ( reviews)

GET EBOOK


Book Synopsis Foundation Models for Natural Language Processing by : Gerhard Paaß

Download or read book Foundation Models for Natural Language Processing written by Gerhard Paaß. This book was released on 2023-05-23. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.

Foundational Issues in Natural Language Processing

Download Foundational Issues in Natural Language Processing PDF Online Free

Author :
Release : 1991
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Foundational Issues in Natural Language Processing by : Peter Sells

Download or read book Foundational Issues in Natural Language Processing written by Peter Sells. This book was released on 1991. Available in PDF, EPUB and Kindle. Book excerpt: Four separate essays address the complex and difficult connections among grammatical theory, mathematical linguistics, and the operation of real natural-language-processing systems, both human and electronic.William Rounds, Avarind Joshi, Janet Fodor, and Robert Berwick are leading scholars in the multidisciplinary field of natural language processing. In four separate essays they address the complex and difficult connections among grammatical theory, mathematical linguistics, and the operation of real natural-language-processing systems, both human and electronic. The editors' substantial introduction details the progress and problems involved in attempts to relate these four areas of research. William Rounds discusses the relevance of complexity results to linguistics and computational linguistics, providing useful caveats about how results might be misinterpreted and pointing out promising avenues of future research. Avarind Joshi (with K. Vijay-Shanker and David Weir) surveys results showing the equivalence of several different grammatical formalisms, all of which are mildly context-sensitive, with special attention to variants of tree adjoining grammar. Janet Fodor discusses how psycholinguistic results can bear on the choice among competing grammatical theories, surveying a number of recent experiments and their relevance to issues in grammatical theory. Robert Berwick considers the relationship between issues in linguistic theory and the construction of computational parsing systems, in particular the question of what it means to implement a theory of grammar in a computational system. He argues for the advantages of a principle-based approach over a rule-based one, and surveys several recent parsing systems based on the theory of government and binding.

You may also like...