Natural Language Processing and Information Systems (häftad)
Häftad (Paperback / softback)
Antal sidor
2010 ed.
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Hopfe, Christina J. (ed.), Rezgui, Yacine (ed.), Métais, Elisabeth (ed.), Preece, Alun (ed.), Li, Haijiang (ed.)
74 Illustrations, black and white; 327 p. 74 illus.
234 x 152 x 18 mm
499 g
Antal komponenter
1 Paperback / softback
Natural Language Processing and Information Systems (häftad)

Natural Language Processing and Information Systems

15th International Conference on Applications of Natural Language to Information Systems, NLDB 2010, Cardiff, UK, June 23-25, 2010, Proceedings

Häftad Engelska, 2010-06-17
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th The 15 International Conference on Applications of Natural Language to Information Systems (NLDB 2010) took place during June 23-25 in Cardiff (UK). Since the first edition in 1995, the NLDB conference has been aiming at bringing together resear- ers, people working in industry and potential users interested in various applications of natural language in the database and information system area. However, in order to reflect the growing importance of accessing information from a diverse collection of sources (Web, Databases, Sensors, Cloud) in an equally wide range of contexts (- cluding mobile and tethered), the theme of the 15th International Conference on - plications of Natural Language to Information Systems 2010 was "Communicating with Anything, Anywhere in Natural Language. " Natural languages and databases are core components in the development of inf- mation systems. Natural language processing (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 pr- essing and presentation. Furthermore, natural language-based query languages and user interfaces facilitate the access to information for all and allow for new paradigms in the usage of computerized services. Hot topics such as information retrieval (IR), software engineering applications, hidden Markov models, natural language interfaces and semantic networks and graphs imply a complete fusion of databases, IR and NLP techniques.
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Information Retrieval.- An Approach for Adding Noise-Tolerance to Restricted-Domain Information Retrieval.- Measuring Tree Similarity for Natural Language Processing Based Information Retrieval.- Sense-Based Biomedical Indexing and Retrieval.- Natural Language Processing.- Semantic Content Access Using Domain-Independent NLP Ontologies.- Extracting Meronymy Relationships from Domain-Specific, Textual Corporate Databases.- Automatic Word Sense Disambiguation Using Cooccurrence and Hierarchical Information.- Software Engineering Applications.- Automatic Quality Assessment of Source Code Comments: The JavadocMiner.- Towards Approximating COSMIC Functional Size from User Requirements in Agile Development Processes Using Text Mining.- Semantic Enriching of Natural Language Texts with Automatic Thematic Role Annotation.- Classification.- Adaptive Topic Modeling with Probabilistic Pseudo Feedback in Online Topic Detection.- An Approach to Indexing and Clustering News Stories Using Continuous Language Models.- Spoken Language Understanding via Supervised Learning and Linguistically Motivated Features.- Hidden Markov Models.- Topology Estimation of Hierarchical Hidden Markov Models for Language Models.- Speaker Independent Urdu Speech Recognition Using HMM.- Second-Order HMM for Event Extraction from Short Message.- Querying.- Goal Detection from Natural Language Queries.- Parsing Natural Language into Content for Storage and Retrieval in a Content-Addressable Memory.- Natural Language Interfaces.- Vague Relations in Spatial Databases.- Conceptual Modeling of Online Entertainment Programming Guide for Natural Language Interface.- Integration of Natural Language Dialogues into the Conceptual Model of Storyboard Design.- Domain Modelling.- Autonomous Malicious Activity Inspector - AMAI.- Towards Geographic Databases Enrichment.- On-Demand Extraction of Domain Concepts and Relationships from Social Tagging Websites.- Information Extraction.- Analysis of Definitions of Verbs in an Explanatory Dictionary for Automatic Extraction of Actants Based on Detection of Patterns.- An Automatic Definition Extraction in Arabic Language.- Automatic Term Extraction Using Log-Likelihood Based Comparison with General Reference Corpus.- Weighted Vote Based Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition.- Refactoring of Process Model Activity Labels.- Unsupervised Ontology Acquisition from Plain Texts: The OntoGain System.- Semantic Networks & Graphs.- Identifying Writers' Background by Comparing Personal Sense Thesauri.- Retrieval of Similar Electronic Health Records Using UMLS Concept Graphs.- Supporting the Abstraction of Clinical Practice Guidelines Using Information Extraction.