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Words and Intelligence I : Selected Papers by Yorick Wilks

The papers include early work descriptions of groundbreaking work on Machine Translation and Preference Semantics as well as more recent works on belief modeling and computational semantics. The selected papers reflect Yorick’s contribution to both practical and theoretical aspects of automatic language processing.

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Word Sense Disambiguation : Algorithms and Applications

This is the first book to cover the entire topic of word sense disambiguation (WSD) including: all the major algorithms, techniques, performance measures, results, philosophical issues, and applications. Leading researchers in the field have contributed chapters that synthesize and provide an overview of past and state-of-the-art research across the field. The editors have carefully organized the chapters into sub-topics. Researchers and lecturers will learn about the full range of what has been done and where the field is headed. Developers will learn which technique(s) will apply to their particular application, how to build and evaluate systems, and what performance to expect.

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Vector Semantics

Links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use.

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Trends in artificial intelligence theory and applications : Artificial intelligence practices ; 33rd International conference on industrial, engineering and other applications of applied intelligent systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings

This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020.

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The Semantic Web ; 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020, Proceedings

Carefully reviewed and selected from 166 submissions. The papers were submitted to three tracks: the research track, the resource track and the in-use track. These tracks showcase research and development activities, services and applications, and innovative research outcomes making their way into industry. The research track caters for both long standing and emerging research topics in the form of the following subtracks: ontologies and reasoning; natural language processing and information retrieval; semantic data management and data infrastructures; social and human aspects of the Semantic Web; machine learning; distribution and decentralization; science of science; security, privacy, licensing and trust; knowledge graphs; and integration, services and APIs.

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The open handbook of linguistic data management

This handbook contains principles and methods for the management, archiving, sharing, and citing of linguistic research data-especially digital data-with an eye toward engaging growing trends in transforming linguistics into a more data-driven and reproducible scientific endeavor

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Text, Speech and Dialogue ; Vol.4188 ; 9th International Conference, TSD 2006, Brno, Czech Republic, September 11-15, 2006, Proceedings

Here are the refereed proceedings of the 9th International Conference on Text, Speech and Dialogue, TSD 2006. Coverage ranges from theoretical and methodological issues to applications with special focus on corpora, texts and transcription, speech analysis, recognition and synthesis, as well as their intertwining within NL dialogue systems.

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Text, Speech and Dialogue ; 11th International Conference, TSD 2008, Brno, Czech Republic, September 8-12, 2008. Proceedings

This book includes text corpora and tagging; transcription problems in spoken corpora; sense disambiguation; links between text and speech oriented systems; parsing issues; parsing problems in spoken texts; multi-lingual issues; multi-lingual dialogue systems; information retrieval and information extraction; text/topic summarization; machine translation; semantic networks and ontologies; semantic web; speech modeling; speech segmentation; speech recognition; search in speech for IR and IE; text-to-speech synthesis; dialogue systems; development of dialogue strategies; prosody in dialogues; emotions and personality modeling; user modeling; knowledge representation in relation to dialogue systems; assistive technologies based on speech and dialogue; applied systems and software; facial animation; and visual speech synthesis

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Syntax and Semantics of Prepositions

This book is the first to provide an integrated view of preposition from morphology to reasoning, via syntax and semantics. It offers new insights in applied and formal linguistics, and cognitive science. It underlines the importance of prepositions in a number of computational linguistics applications, such as information retrieval and machine translation. The reader will benefit from a wide range of views and applications to various linguistic frameworks, among which, most notably, HPSG. The book is for researchers working in the fields of computational linguistics, linguistics, and artificial intelligence.

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String Processing and Information Retrieval ; 27th International Symposium, SPIRE 2020, Orlando, FL, USA, October 13–15, 2020, Proceedings

This book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2020, held in Orlando, FL, USA, in October 2020. The 17 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 32 submissions. They cover topics such as: data structures; algorithms; information retrieval; compression; combinatorics on words; and computational biology.

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Statistical language and speech processing ; 8th International Conference, SLSP 2020, Cardiff, UK, October 14–16, 2020, Proceedings

This book constitutes the proceedings of the 8th International Conference on Statistical Language and Speech Processing, SLSP 2020, held in Cardiff, UK, in October 2020. The 13 full papers presented together with one invited paper in this volume were carefully reviewed and selected from 25 submissions. They papers cover the wide spectrum of statistical methods that are currently in use in computational language or speech processing.

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Speech and language processing

An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations.

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Semantics in Data and Knowledge Bases ; 3rd International Workshop, SDKB 2008, Nantes, France, March 29, 2008, Revised Selected Papers

This book presented original contributions demonstrating the use of logic, discrete mathematics, combinatorics, domain theory and other mathematical theories of semantics for database and knowledge bases, computational linguistics and semiotics, and information and knowledge-based systems.

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Representation learning for natural language processing

Provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions..

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Representation Learning for Natural Language Processing

This book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts.

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Parsing Techniques : A Practical Guide

Presents new developments and discoveries: generalized deterministic parsing, linear-time substring parsing, parallel parsing, parsing as intersection, non-canonical methods, non-Chomsky systems, and many more.Parsing techniques provide a solid basis for compiler construction and linguistics, and contribute to all existing software: they enable Web browsers to analyze HTML pages and PostScript printers to analyze PostScript, and some of the more advanced techniques are used in code generation in compilers and in data compression.

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Natural Language Processing and Information Systems ; Vol. 3999 ; 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, Klagenfurt, Austria, May 31 - June 2, 2006, Proceedings

This book constitutes the refereed proceedings of the 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, held in Klagenfurt, Austria in May/June 2006 as part of UNISCON 2006. The book presents 17 revised full papers and 5 revised short papers, organized in topical sections on concepts extraction and ontology, ontologies and task repository utilization, query processing, information retrieval and dialog processing, and NLP techniques.

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Natural Language Processing and Information Systems ; Vol. 3513 ; 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005, Alicante, Spain, June 15-17, Proceedings

The development and convergence of computing, telecommunications and information systems has already led to a revolution in the way that we work, communicate with each other, buy goods and use services, and even in the way that we entertain and educate ourselves.The revolution continues, and one of its results is that large volumes of information will increasingly be held in a form which is more natural for users than the data presentation formats typical of computer systems of the past. Natural language processing (NLP) is crucial in solving these problems, and language technologies will make an indispensable contribution to the success of information systems. We hope that NLDB 2005 was a modest contribution to this goal. NLDB 2005 contributed to advancing the goals and the high international standing of these conferences, largely due to its Program Committee, composed of renowned researchers in the field of natural language processing and inf- mation system engineering. Papers were reviewed by three reviewers from the Program Committee. This clearly contributed to the significant number of - pers submitted (95). Twenty-nine were accepted as regular papers, while 18 were accepted as short papers.

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Natural language processing and information systems ; 12th International Conference on Applications of Natural Language to Information Systems, NLDB 2007, Paris, France, June 27-29, 2007, Proceedings

NLP techniques may substantially enhance most phases of the information system lifecycle, starting with requirement analysis, specification and validation, and going up to conflict resolution, result processing and presentation.

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Natural Language Processing and Chinese Computing ; 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part II

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020. The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.

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