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Memory-Based Language Processing
Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.
Essential Speech and Language Technology for Dutch
The book provides an overview of more than a decade of joint R&D efforts in the Low Countries on HLT for Dutch. It not only presents the state of the art of HLT for Dutch in the areas covered, but, even more importantly, a description of the resources (data and tools) for Dutch that have been created are now available for both academia and industry worldwide. The contributions cover many areas of human language technology (for Dutch): corpus collection (including IPR issues) and building (in particular one corpus aiming at a collection of 500M word tokens), lexicology, anaphora resolution, a semantic network, parsing technology, speech recognition, machine translation, text (summaries) gener...
Computational Linguistics in the Netherlands 2001
From the contents: Ideas on multi-layer dialogue management for multi-party, multi-conversation, multi-modal communication. - The alpino dependency treebank. - Corpus-based acquisition of collocational prepositional phrases. - Conservative vs set-driven learning functions for the classes k-valued. - Memory-based phoneme-to-grapheme conversion. - Tagging the Dutch parole corpus. - A named entity recognition system for Dutch.
Innovations for Requirement Analysis. From Stakeholders' Needs to Formal Designs
Wearepleasedtopresenttheproceedingsofthe14thMontereyWorkshop,which tookplaceSeptember10–13,2007inMonterey,CA,USA. Inthispreface,wegive the reader an overview of what took place at the workshop and introduce the contributions in this Lecture Notes in Computer Science volume. A complete introduction to the theme of the workshop, as well as to the history of the Monterey Workshop series, can be found in Luqi and Kordon’s “Advances in Requirements Engineering: Bridging the Gap between Stakeholders’ Needs and Formal Designs” in this volume. This paper also contains the case study that many participants used as a problem to frame their analyses, and a summary of the workshop’s results....
Sustainable Swine Nutrition
Sustainable Swine Nutrition As climate change continues to have a significant impact on the modern world, it is crucial to find alternative sources of energy and nutrients for swine production. The development of optimal feeding revolves around a multitude of considerations—genetic variations in the pig, variability, availability, and stability of nutrients in feed ingredients, interactions among nutrients and non-nutritive factors, voluntary feed intake, physical (& social) environment of pigs, and more. Establishing the ideal network of factors will only grow in importance as humans assess the methods for our own food networks. Sustainable Swine Nutrition is a comprehensive book on swine...
Natural Language Processing – IJCNLP 2005
This book constitutes the thoroughly refereed proceedings of the Second International Joint Conference on Natural Language Processing, IJCNLP 2005, held in Jeju Island, Korea in October 2005. The 88 revised full papers presented in this volume were carefully reviewed and selected from 289 submissions. The papers are organized in topical sections on information retrieval, corpus-based parsing, Web mining, rule-based parsing, disambiguation, text mining, document analysis, ontology and thesaurus, relation extraction, text classification, transliteration, machine translation, question answering, morphological analysis, text summarization, named entity recognition, linguistic resources and tools, discourse analysis, semantic analysis NLP applications, tagging, language models, spoken language, and terminology mining.
Principles of Data Mining and Knowledge Discovery
This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.
Advances in Artificial Intelligence
The 18th conference of the Canadian Society for the Computational Study of Intelligence (CSCSI) continued the success of its predecessors. This set of - pers re?ects the diversity of the Canadian AI community and its international partners. AI 2005 attracted 135 high-quality submissions: 64 from Canada and 71 from around the world. Of these, eight were written in French. All submitted papers were thoroughly reviewed by at least three members of the Program Committee. A total of 30 contributions, accepted as long papers, and 19 as short papers are included in this volume. We invited three distinguished researchers to give talks about their current research interests: Eric Brill from Microsoft...
Computational Linguistics in the Netherlands 1998
This volume provides a selection of the papers which were presented at the ninth conference on Computational Linguistics in the Netherlands (Leuven, 1998). It gives an accurate and up-to-date picture of the lively scene of computational linguistics in the Netherlands and Flanders. In terms of topics the contributions can be grouped under three headings: the use of statistical methods in speech and language processing (6 papers), the analysis of syntactic and semantic phenomena in the framework of computationally oriented formalisms, such as Head-driven Phrase Structure Grammar (5 papers), and the development of NLP applications, such as document processing, dialogue modelling and teaching (3 papers). The volume covers the whole range from theoretical to applied research and development, and is hence of interest to both academia and industry. The target audience consists of advanced students and scholars of computational linguistics, and speech and language processing (Linguistics, Computer Science, Electrical Engineering).
Computational Linguistics in the Netherlands 1998
This volume provides a selection of the papers which were presented at the ninth conference on Computational Linguistics in the Netherlands (Leuven, 1998). It gives an accurate and up-to-date picture of the lively scene of computational linguistics in the Netherlands and Flanders. In terms of topics the contributions can be grouped under three headings: the use of statistical methods in speech and language processing (6 papers), the analysis of syntactic and semantic phenomena in the framework of computationally oriented formalisms, such as Head-driven Phrase Structure Grammar (5 papers), and the development of NLP applications, such as document processing, dialogue modelling and teaching (3 papers). The volume covers the whole range from theoretical to applied research and development, and is hence of interest to both academia and industry. The target audience consists of advanced students and scholars of computational linguistics, and speech and language processing (Linguistics, Computer Science, Electrical Engineering).
