-------- Forwarded Message --------
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poster presentations on recent, unpublished research that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
=============================================
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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