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Author: Bengt Nordström
Publisher: Springer Science & Business Media
ISBN: 3540852867
Category : Computers
Languages : en
Pages : 522
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Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Natural Language Processing, GoTAL 2008, Gothenburg, Sweden, August 2008. The 44 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 107 submissions. The papers address all current issues in computational linguistics and monolingual and multilingual intelligent language processing - theory, methods and applications.
Author: Bengt Nordström
Publisher: Springer Science & Business Media
ISBN: 3540852867
Category : Computers
Languages : en
Pages : 522
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Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Natural Language Processing, GoTAL 2008, Gothenburg, Sweden, August 2008. The 44 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 107 submissions. The papers address all current issues in computational linguistics and monolingual and multilingual intelligent language processing - theory, methods and applications.
Author: Roberto R. Heredia
Publisher: Cambridge University Press
ISBN: 1316213978
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
Bilingual Figurative Language Processing is a timely book that provides a much-needed bilingual perspective to the broad field of figurative language. This is the first book of its kind to address how bilinguals acquire, store, and process figurative language, such as idiomatic expressions (such as kick the bucket), metaphors (such as lawyers are sharks), and irony, and how these tropes might interact in real time across the bilingual's two languages. This volume offers the reader and the bilingual student an overview of the major strands of research, both theoretical and empirical, currently being undertaken in this field of inquiry. At the same time, Bilingual Figurative Language Processing provides readers and undergraduate and graduate students with the opportunity to acquire hands-on experience in the development of psycholinguistic experiments in bilingual figurative language. Each chapter includes a section on suggested student research projects. Selected chapters provide detailed procedures on how to design and develop psycholinguistic experiments.
Author: Max Silberztein
Publisher: Springer Nature
ISBN: 3031438116
Category :
Languages : en
Pages : 230
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Book Description
Author: Jacob Eisenstein
Publisher: MIT Press
ISBN: 0262042843
Category : Computers
Languages : en
Pages : 535
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Book Description
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
Author: Gerhard Paaß
Publisher: Springer Nature
ISBN: 3031231902
Category : Computers
Languages : en
Pages : 448
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Book Description
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.
Author: Nicolas Nicolov
Publisher: John Benjamins Publishing
ISBN: 9027290911
Category : Computers
Languages : en
Pages : 338
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Book Description
This volume brings together revised versions of a selection of papers presented at the Sixth International Conference on “Recent Advances in Natural Language Processing” (RANLP) held in Borovets, Bulgaria, 27–29 September 2007. These papers cover a wide variety of Natural Language Processing (NLP) topics: ontologies, named entity extraction, translation and transliteration, morphology (derivational and inflectional), part-of-speech tagging, parsing (incremental processing, dependency parsing), semantic role labeling, word sense disambiguation, temporal representations, inference and metaphor, semantic similarity, coreference resolution, clustering (topic modeling, topic tracking), summarization, cross-lingual retrieval, lexical and syntactic resources, multi-modal processing. The aim of this volume is to present new results in NLP based on modern theories and methodologies, making it of interest to researchers in NLP and, more specifically, to those who work in Computational Linguistics, Corpus Linguistics, and Machine Translation.
Author: Alexander Clark
Publisher: John Wiley & Sons
ISBN: 1118347188
Category : Language Arts & Disciplines
Languages : en
Pages : 802
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Book Description
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Author: Rafael Munoz
Publisher: Springer Science & Business Media
ISBN: 3642223265
Category : Computers
Languages : en
Pages : 362
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Book Description
This book constitutes the refereed proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, held in Alicante, Spain, in June 2011. The 11 revised full papers and 11 revised short papers presented together with 23 poster papers, 1 invited talk and 6 papers of the NLDB 2011 doctoral symposium were carefully reviewed and selected from 74 submissions. The papers address all aspects of Natural Language Processing related areas and present current research on topics such as natural language in conceptual modeling, NL interfaces for data base querying/retrieval, NL-based integration of systems, large-scale online linguistic resources, applications of computational linguistics in information systems, management of textual databases NL on data warehouses and data mining, NLP applications, as well as NL and ubiquitous computing.
Author: José Luis Vicedo
Publisher: Springer Science & Business Media
ISBN: 3540234985
Category : Computers
Languages : en
Pages : 498
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Book Description
This book constitutes the refereed proceedings of the 4th International Conference, EsTAL 2004, held in Alicante, Spain in October 2004. The 42 revised full papers presented were carefully reviewed and selected from 72 submissions. The papers address current issues in computational linguistics and monolingual and multilingual intelligent language processing and applications, in particular written language analysis and generation; pragmatics, discourse, semantics, syntax, and morphology; lexical resources; word sense disambiguation; linguistic, mathematical, and morphology; lexical resources; word sense disambiguation; linguistic, mathematical, and psychological models of language; knowledge acquisition and representation; corpus-based and statistical language modeling; machine translation and translation tools; and computational lexicography; information retrieval; extraction and question answering; automatic summarization; document categorization; natural language interfaces; and dialogue systems and evaluation of systems.
Author: Diana Maynard
Publisher: Morgan & Claypool Publishers
ISBN: 1627056327
Category : Computers
Languages : en
Pages : 196
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Book Description
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.
