[open-linguistics] NLDB 2020 Deadline Extended to 15th of February!
cimiano at cit-ec.uni-bielefeld.de
Wed Feb 5 06:26:53 UTC 2020
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*Call for Papers - NLDB2020*
25th International Conference on Natural Language & Information Systems
June 24 - 26; DFKI Saarbrücken, Germany
• *Submission deadlin*e: 15.02.2020 (Extended)
• *Notification of acceptance*: 15.03.2020
• *Camera-ready due*: 10.04.2020
• *NLDB Conference*: 24 - 26.06.2020
Since 1995, the NLDB conference brings together re- searchers, industry
practitioners, and potential users in- terested in various application
of Natural Language in the Database and Information Systems fields.The
term “Information Systems” has to be considered in the broader sense of
Information and Communication Systems, including Big Data, Linked Data
and Social Net- works.
The field of Natural Language Processing (NLP) has it- self recently
experienced several exciting developments. In research, these
developments have been reflected in the emergence of neural language
models (Deep Learning, Word2Vec) and a (renewed) interest in various
linguis- tic phenomena, such as in discourse and argumentation theory
(argumentation mining). Regarding applications, NLP systems have evolved
to the point that they now offer real-life, tangible benefits to
enterprises. Many of these NLP systems are now considered a de-facto
offering in business intelligence suites, such as algorithms for recom-
mender systems and opinion mining/sentiment analysis as well as
It is against this backdrop of recent innovations in NLP and its
applications in information systems that the 25th edition of the NLDB
conference – NLDB2020, takes place. We welcome research and industrial
contributions, de- scribing novel, previously unpublished works on NLP
and its applications across a plethora of topics.
*Webpage*: http://nldb.org <http://nldb.org/>
*Contact*: helmut.horacek at dfki.de <mailto:helmut.horacek at dfki.de>
Authors should follow the LNCS format
submit their manuscripts in pdf via Easychair
Submissions can be full papers (12 pages maximum in- cluding references),
short papers (8 pages) or
papers for a poster presentation (6 pages).
The programme committee may decide to accept some full papers as short
papers or poster 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.
anno- tated corpora, treebanks and parsers, Integration of NLP
techniques with formal, Abstract argumenta- tion structures,
Argumentation Mining from legal texts and scientific articles.
• 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 program- ming 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 relation- ship
extraction, Text classification and clustering, Corpus analysis,
Language detection, Robust NLP methods for sparse, ill-formed texts,
Recommenda- tion 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, Classifi- cation systems, Extraction, Named
entity and event extraction.
• Semantic Web, Open Linked Data, and Ontologies: Ontology learning and
alignment, Ontology population, Ontology evaluation, Querying on-
tologies and linked Data, Semantic tagging and clas- sification,
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 har- vesting.
• Natural language and Ubiquitous Computing: Pervasive computing,
embedded, robotic and mobile applications, NLP techniques for Internet
of Things (IoT), NLP techniques for ambient intelli- gence.
• Big Data and Business intelligence: Identity detection, Semantic data
cleaning, Summarisation, Reporting, and Data to text.
Prof. Dr. Philipp Cimiano
AG Semantic Computing
Exzellenzcluster für Cognitive Interaction Technology (CITEC)
Tel: +49 521 106 12249
Fax: +49 521 106 6560
Mail: cimiano at cit-ec.uni-bielefeld.de
33615 Bielefeld, NRW
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