[open-linguistics] NLDB 2020 Deadline Extended to 15th of February!

Philipp Cimiano cimiano at cit-ec.uni-bielefeld.de
Wed Feb 5 06:26:53 UTC 2020

Sorry for multiple copies

*Call for Papers - NLDB2020*

25th International Conference on Natural Language & Information Systems

June 24 - 26; DFKI Saarbrücken, Germany

*Important Dates*

• *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

*NLDB 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 
question-answering systems.

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contributions, de- scribing novel, previously unpublished works on NLP 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>

*Submission Guidelines*

Authors should follow the LNCS format 
(http://www.springer.de/comp/lncs/authors.html) and

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)
Universität Bielefeld

Tel: +49 521 106 12249
Fax: +49 521 106 6560
Mail: cimiano at cit-ec.uni-bielefeld.de

Office CITEC-2.307
Universitätsstr. 21-25
33615 Bielefeld, NRW

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