[CFP] NLDB 2024 - The 29th International Conference on Natural Language & Information Systems - Submissions Open [CFP]

* We apologize if you receive multiple copies of this CFP *
For the online version of this Call, visit: 
https://nldb2024.di.unito.it/submissions/

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*SUBMISSIONS ARE OPEN* AT https://easychair.org/conferences/?conf=nldb2024

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NLDB 2024
The 29th International Conference on Natural Language & Information Systems
25-27 June 2024, University of Turin, Italy.
Website: https://nldb2024.di.unito.it/
Submission deadline: 22 March, 2024

About NLDB
The 29th International Conference on Natural Language & Information 
Systems will be held at the University of Turin, Italy, and will be a 
face to face event. Since 1995, the NLDB conference brings together 
researchers, industry practitioners, and potential users interested in 
various applications 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 Large Language 
Models and the importance of aspects such as transparency, bias and 
fairness, Large Multimodal Models and the connection of the NLP field 
with Computer Vision, chatbots and dialogue-based pipelines.
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. Language models developed by the open-source 
community have become widespread and commonly used. Businesses are now 
readily adopting these technologies, thanks to the efforts of the 
open-source community. For example, fine-tuning a language model on a 
company’s own dataset is now easy and convenient, using modules created 
by thousands of academic researchers and industry experts.
It is against this backdrop of recent innovations in NLP and its 
applications in information systems that the 29th 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 2024 invites authors to submit papers 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 continues with the Industry Track to foster fruitful 
interaction between the industry and the research community.

Topics of interest include but are not limited to:
* Large Language Models: training, applications, transfer learning, 
interpretability of large language models.
* Multimodal Models: Integration of text with other modalities like 
images, video, and audio; multimodal representation learning; 
applications of multimodal models.
* AI Safety and ethics: Safe and ethical use of Generative AI and NLP; 
avoiding and mitigating biases in NLP models and systems; explainability 
and transparency in AI.
* Natural Language Interfaces and Interaction: design and implementation 
of Natural Language Interfaces, user studies with human participants on 
Conversational User Interfaces, chatbots and LLM-based chatbots and 
their interaction with users.
* 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: 22 March, 2024
Paper notification: 19 April, 2024
Camera-ready deadline: 26 April, 2024
Conference: 25-27 June 2024

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=nldb2024)

Papers can be submitted to either the main conference or the industry track.

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 program committee may decide to 
accept some full papers as short papers or poster papers.

All questions about submissions should be emailed to 
federico.torrielli@unito.it (Web & Publicity Chair)

General Chairs:

Luigi Di Caro, University of Turin
Farid Meziane, University of Derby
Amon Rapp, University of Turin
Vijayan Sugumaran, Oakland University