Conf: NLDB'2014, 18-20 June 2014, Montpellier, France

Thierry Hamon hamon at LIMSI.FR
Wed May 21 07:58:11 UTC 2014

Date: Mon, 19 May 2014 08:36:02 +0200
From: Mathieu Roche <Mathieu.Roche at>
Message-ID: <3a39f64acbd84d7eef52e70140c0d42f at>



 19th International Conference on Application of Natural Language to 
 Information Systems

 18-20 June 2014 - Montpellier, France



 Since 1995, the NLDB conference aims at bringing together researcher,
 industrials and potential users interested in various application of
 Natural Language in the Database and Information Systems field. The
 integration of databases and natural language has been an utopia for
 many years. However, progress has been made and this is now an
 established field thanks to developments in Natural Language and
 technologies that made the storage and manipulation of large electronic
 dictionaries possible. As Information Systems are now evolving into the
 communication area, the term databases should be considered in the
 broader sense of information and communication systems. The use of
 Natural Language in Software Engineering has contributed to both
 improving the development process from the viewpoints of developers
 (improve the process of conceptual modeling, validation, etc) and the
 usability of applications by users (natural language query interfaces,
 semantic webs, etc).

 NLDB'2014 will take place in Montpellier (France). The conference
 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 oral or poster presentations on recent, unpublished research that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:

 - Applications of NLP in Information Systems: Multilingual Information
   Systems, NLP in Requirement Engineering, NLP in Knowledge Management,
   Semantic Data Integration and Data Cleaning

 - Social Media and Web Data: Corpus analysis, Language identification,
   Text normalization, Robust NLP for social media, Text classification,
   Information Extraction and Sentiment Analysis for social media

 - Big Data and Natural Language

 - Semantic Web Open Linked Data: Ontology Learning and Alignment,
   Populating ontologies, Querying Ontologies and linked data, Semantic
   tagging and classification, Ontology-driven NLP

 - Question Answering (QA): NL 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

 - Natural language and Ubiquitous Computing: Pervasive Computing,
   Embedded, Robotic and Mobile Applications.

 - Natural Language in Conceptual Modeling: Analysis of Natural Language
   Descriptions, Terminological Ontologies, Consistency Checking,
   Metadata Creation and Harvesting, Ontology-driven Systems
   Integration, Ontology Management

 - NLP Applications: Business Intelligence, Subjectivity and Sentiment
   Analysis, QA systems, Event Detection, Named Entity and Event
   Detection, Information Extraction, Summarization, NLP for Data
   Mining, NLP for Data Warehouses, Plagiarism detection, Identity


 Sophia Ananiadou, University of Manchester, UK
 Title: Applications of Biomedical Text Mining

 Gabriella Pasi, University of Milano Bicocca, Italy
 Title: Personal Ontologies





 Local Organizer: TETIS

 Local Support: LIRMM, Cirad, AgroParisTech, Région 
 Languedoc-Roussillon, IUT Béziers

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