Call for Papers - NLDB 2021
26th International Conference on Natural Language & Information Systems
June 23 - 25; DFKI Saarbrücken, Germany
• Submission deadline: 08.02.2021
• Notification of acceptance: 8.03.2021
• Camera-ready due: 22.03.2021
• NLDB Conference: 23 - 25.06.2021
Invited Speakers Elke Teich, Saarland University, Germany Manfred Stede, Potsdam University, Germany
NLDB 2021 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 We welcome research and industrial contributions, de- scribing novel, previously unpublished works on NLP and its applications across a plethora of topics.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://nldb2021.sb.dfki.de/ <http://nldb2021.sb.dfki.de/> Contact: helmut.horacek at dfki.de <mailto:helmut.horacek at dfki.de>
Authors should follow the LNCS format (http://www.springer.de/comp/lncs/authors.html <http://www.springer.de/comp/lncs/authors.html>) and
submit their manuscripts in pdf via Easychair (https://easychair.org/my/conference?conf=nldb2021 <https://easychair.org/my/conference?conf=nldb2021>)
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: Plagia- rism 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. -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 13045 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20201217/d62c3a08/attachment.txt>