[AISWorld] CFP: NLDB 2023 - Paper Submission Deadline 31 March 2023

[Flavius Frasincar]

NLDB 2023
28th International Conference on Natural Language & Information Systems
21-23 June 2023, University of Derby, United Kingdom
https://www.derby.ac.uk/events/latest-events/nldb-2023/

About NLDB

The 28th International Conference on Natural Language & Information 
Systems will be held at the University of Derby, United Kingdom and will 
be a face to face event.
Since 1995, the NLDB conference brings together researchers, industry 
practitioners, and potential users interested in various application of 
Natural Language in the Database and Information Systems field. The term 
"Information Systems" has to be considered in the broader sense of 
Information and Communication Systems, including Big Data, Linked Data 
and Social Networks.
The field of Natural Language Processing (NLP) has itself recently 
experienced several exciting developments. In research, these 
developments have been reflected in the emergence of neural language 
models (Deep Learning, Word Embeddings, Transformers) and the importance 
of aspects such as transparency, bias and fairness, a (renewed) interest 
in various linguistic phenomena, such as in discourse and argumentation 
mining, and in new problems such as the detection of disinformation and 
hate speech in social media, as well of mental health disorders that 
increased during the recent pandemic. 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 recommender systems and opinion mining/sentiment analysis.
It is against this backdrop of recent innovations in NLP and its 
applications in information systems that the 28th edition of the NLDB 
conference takes place. We welcome research and industrial 
contributions, describing novel, previously unpublished works on NLP and 
its applications across a plethora of topics as described in the Call 
for Papers.

Call for Papers

NLDB 2023 invites authors to submit papers for oral or poster 
presentations on unpublished research that addresses theoretical 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 survey and discussion papers. This year's edition of NLDB also 
introduces an Industry Track, to foster fruitful interaction between the 
industry and the research community.
Topics of interest include but are not limited to:
* Social Media and Web Analytics: Opinion mining/sentiment analysis, 
irony/sarcasm detection; detection of fake reviews and deceptive 
language; detection of harmful information: fake news and hate speech; 
sexism and misogyny; detection of mental health disorders; 
identification of stereotypes and social biases; robust NLP methods for 
sparse, ill-formed texts; recommendation systems.
* Deep Learning and eXplainable Artificial Intelligence (XAI): Deep 
learning architectures, word embeddings, transparency, interpretability, 
fairness, debiasing, ethics.
* Argumentation Mining and Applications: Automatic detection of 
argumentation components and relationships; creation of resource (e.g. 
annotated corpora, treebanks and parsers); Integration of NLP techniques 
with formal, abstract argumentation structures; Argumentation Mining 
from legal texts and scientific articles.
* 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, multi-cultural and multi-modal 
corpora; machine translation, text analysis, text classification and 
clustering; language identification; plagiarism detection; information 
extraction: named entity, extraction of events, terms and semantic 
relationships.
* Semantic Web, Open Linked Data, and Ontologies: Ontology learning and 
alignment, ontology population, ontology evaluation, querying ontologies 
and linked data, semantic tagging and classification, ontology-driven 
NLP, ontology-driven systems integration.
* Natural Language in Conceptual Modelling: Analysis of natural language 
descriptions, NLP in requirement engineering, terminological ontologies, 
consistency checking, metadata creation and harvesting.
* Natural Language and Ubiquitous Computing: Pervasive computing, 
embedded, robotic and mobile applications; conversational agents; NLP 
techniques for Internet of Things (IoT); NLP techniques for ambient 
intelligence.
* Big Data and Business Intelligence: Identity detection, semantic data 
cleaning, summarisation, reporting, and data to text.

Important Dates

Full paper submission: 31 March 2023
Paper notification: 25 April 2023
Camera-ready deadline: 5 April 2023
Conference: 21-23 June 2023

Submission Guidelines

Authors should follow the LNCS format 
(https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) 
and submit their manuscripts in pdf via Easychair 
(https://easychair.org/conferences/?conf=nldb2023).
Submissions can be full papers (up to 15 pages including references and 
appendices), short papers (up to 11 pages including references and 
appendices) or papers for a poster presentation or system demonstration 
(6 pages including references). The programme committee may decide to 
accept some full papers as short papers or poster papers.