22nd International Conference on Natural Language & Information Systems (NLDB 2017)

June 21-23,2017

Liege, Belgium

Call For Papers

NLDB 2017 invites researchers from academia and industry to submit their papers on recent, unpublished research that addresses theoretical aspects, algorithms and architectures of NLP applications in Information Systems (IS). Papers describing creation of resources, as well as survey and discussion papers, are also welcomed.For its 22nd edition, we explicitly solicit submissions on recent advances in NLP, including trendsetting and relevant topics as neural language models and argumentation mining.

Topics of Interest

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, e.g., Toulmin model

Argumentation mining from legal texts and scientific articles

Applications, e.g., in opinion mining/sentiment analysis

Neural Language Models

Deep learning and 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

NLP Applications in IS and in Social Media and Web Analytics

Machine translation

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

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)

Semantic Web, Open Linked Data, and Ontologies

QALD

Ontology learning and alignment

Ontology population

Ontology evaluation

Querying ontologies and Linked Data

Semantic tagging and classification

Ontology-driven NLP

Natural Language in Conceptual Modeling

Analysis of natural language descriptions

Terminological ontologies

Consistency checking

Metadata creation and harvesting

Ontology-driven systems integration

Natural language and Ubiquitous Computing

Pervasive computing, embedded, robotic and mobile applications

NLP techniques for Internet of Things (IoT)

NLP techniques for ambient intelligence

Important Dates

Submission deadline: February 5, 2017.

Notification Due: March 13, 2017.

Final Version Due: April 3, 2017.

User Name : Anika
Posted 24-11-2016 on 10:20:47 AEDT

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IEIJ   Informatics Engineering, an International Journal
IJESA   International Journal of Embedded Systems and Applications (IJESA)
JEDT   International Journal of Electronic Design and Test