-------- Forwarded Message -------- Subject: [AISWorld] CFP - NLDB 2019, Extended submission deadline: March 30, 2019 Date: Mon, 11 Mar 2019 13:52:37 -0400 From: Vijayan Sugumaran sugumara@oakland.edu To: aisworld@lists.aisnet.org
Call for Papers NLDB 2019 24th International Conference on Applications of Natural Language to Information Systems
26-28 June 2019, University of Salford, MediaCityUK Campus, United Kingdom
http://nldb.org/ http://nldb.org/
Important Dates:
Full paper submission: Open until 30 March 2019
Since 1995, the NLDB conference aims at bringing together researchers, industrials and potential users interested in various applications of Natural Language in the Database and Information Systems field. NLDB 2019 invites researchers from academia and industry to submit papers for oral or poster presentations on recent, unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP, as well as review and discussion papers.
Topics of interest include but are not limited to:
Argumentation Mining and Applications: Automatic detection of argumentation components and relationships, Creation of resources, e.g. annotated corpora, treebanks and parsers, Integration of NLP techniques with formal, Abstract argumentation structures, Argumentation Mining from legal texts and scientific articles, Applications, e.g. in opinion mining/sentiment analysis
Deep Learning, Neural Languages and NLP: Word2Vec applications, e.g. opinion mining, text summarization, machine translation, Development of novel deep learning architectures and algorithms, Parallel computation techniques and GPU programming for neural language models
Social Media and Web Analytics: Plagiarism detection, Opinion mining/sentiment analysis, detection of fake reviews, Information extraction: NER, event detection, term and semantic relationship extraction, Text summarization, Text classification and clustering, Corpus analysis, Language detection, Robust NLP methods for sparse, ill-formed texts, Recommendation systems
Question Answering (QA): Natural language interfaces to databases, QA using web data, Multi-lingual QA, Non-factoid QA(how/why/opinion questions, lists), Geographical QA, QA corpora and training sets, QA over Linked Data (QALD)
Corpus Analysis: Multi-lingual and Multi-cultural corpus, Machine translation, Text analysis, Classification systems, Extraction, Named Entity and Event Extraction
Semantic Web, Open Linked Data, and Ontologies: Ontology learning and alignment, Ontology population, Ontology evaluation, Querying ontologies and Linked Data, Semantic tagging and classification, Ontology-driven NLP, Ontology-driven systems integration
Natural Language in Conceptual Modeling: Analysis of natural language descriptions, NLP in requirement Engineering, Terminological ontologies, Consistency checking, Metadata creation and harvesting
Natural language and Ubiquitous Computing: Pervasive computing, embedded, robotic and mobile applications, NLP techniques for Internet of Things (IoT), NLP techniques for ambient intelligence
Big Data and Business intelligence: Identity Detection, Semantic Data cleaning, Summarisation, Reporting.
Submission Guidelines:
Authors should submit manuscripts via the NLDB 2019 web submission system using easychair at: https://easychair.org/conferences/?conf=nldb2019
Accepted formats are: PostScript or Portable Document Format (PDF). Papers should not exceed 12 pages. The Proceedings of NLDB 2019 will be published in the LNCS-series at Springer Verlag. The authors should follow the LNCS format ( http://www.springer.de/comp/lncs/authors.html http://www.springer.de/comp/lncs/authors.html)
The best papers will be selected after the conference and an extended version of these papers will be published in the Data and Knowledge Engineering Journal (Elsevier) as a special issue
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Vijayan Sugumaran, Ph.D.
Professor of Management Information Systems
Chair, Department of Decision and Information Sciences
Co-Director, Center for Data Science and Big Data Analytics
School of Business Administration
Oakland University
Rochester, MI 48309
Phone: 248-370-4649
Fax: 248-370-4275
Email: sugumara@oakland.edu mailto:sugumara@oakland.edu =============================================
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