Semantics-Oriented Natural Language Processing

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Release : 2009-12-01
Genre : Science
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Book Rating : 267/5 ( reviews)

Semantics-Oriented Natural Language Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Semantics-Oriented Natural Language Processing write by Vladimir Fomichov A.. This book was released on 2009-12-01. Semantics-Oriented Natural Language Processing available in PDF, EPUB and Kindle. Gluecklich, die wissen, dass hinter allen Sprachen das Unsaegliche steht. Those are happy who know that behind all languages there is something unsaid Rainer Maria Rilke This book shows in a new way that a solution to a fundamental problem from one scienti?c ?eld can help to ?nd the solutions to important problems emerged in several other ?elds of science and technology. In modern science, the term “Natural Language” denotes the collection of all such languages that every language is used as a primary means of communication by people belonging to any country or any region. So Natural Language (NL) includes, in particular, the English, Russian, and German languages. The applied computer systems processing natural language printed or written texts (NL-texts) or oral speech with respect to the fact that the words are associated with some meanings are called semantics-oriented natural language processing s- tems (NLPSs). On one hand, this book is a snapshot of the current stage of a research p- gram started many years ago and called Integral Formal Semantics (IFS) of NL. The goal of this program has been to develop the formal models and methods he- ing to overcome the dif?culties of logical character associated with the engineering of semantics-oriented NLPSs. The designers of such systems of arbitrary kinds will ?nd in this book the formal means and algorithms being of great help in their work.

Knowledge Representation and the Semantics of Natural Language

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Release : 2005-12-19
Genre : Computers
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Book Rating : 661/5 ( reviews)

Knowledge Representation and the Semantics of Natural Language - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Knowledge Representation and the Semantics of Natural Language write by Hermann Helbig. This book was released on 2005-12-19. Knowledge Representation and the Semantics of Natural Language available in PDF, EPUB and Kindle. Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the pres- vation of cultural achievements and their transmission from one generation to the other. During the last few decades, the ?ood of digitalized information has been growing tremendously. This tendency will continue with the globali- tion of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical und- standing and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this c- text, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the g- eration of natural language expressions from formal representations. This book presents a method for the semantic representation of natural l- guage expressions (texts, sentences, phrases, etc. ) which can be used as a u- versal knowledge representation paradigm in the human sciences, like lingu- tics, cognitive psychology, or philosophy of language, as well as in com- tational linguistics and in arti?cial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.

Speech & Language Processing

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Release : 2000-09
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Book Rating : 724/5 ( reviews)

Speech & Language Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Speech & Language Processing write by Dan Jurafsky. This book was released on 2000-09. Speech & Language Processing available in PDF, EPUB and Kindle.

Natural Language Processing

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Release : 2013-11-14
Genre : Computers
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Book Rating : 971/5 ( reviews)

Natural Language Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Natural Language Processing write by Epaminondas Kapetanios. This book was released on 2013-11-14. Natural Language Processing available in PDF, EPUB and Kindle. This book introduces the semantic aspects of natural language processing and its applications. Topics covered include: measuring word meaning similarity, multi-lingual querying, and parametric theory, named entity recognition, semantics, query language, and the nature of language. The book also emphasizes the portions of mathematics needed to under

Embeddings in Natural Language Processing

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Release : 2020-11-13
Genre : Computers
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Book Rating : 226/5 ( reviews)

Embeddings in Natural Language Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Embeddings in Natural Language Processing write by Mohammad Taher Pilehvar. This book was released on 2020-11-13. Embeddings in Natural Language Processing available in PDF, EPUB and Kindle. Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents. This book provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings. The book also provides an overview of recent developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP. Throughout the book, the reader can find both essential information for understanding a certain topic from scratch and a broad overview of the most successful techniques developed in the literature.