34.3543, Calls: The 29th International Conference on Natural Language & Information Systems

[The LINGUIST List]

LINGUIST List: Vol-34-3543. Sun Nov 26 2023. ISSN: 1069 - 4875.

Subject: 34.3543, Calls: The 29th International Conference on Natural Language & Information Systems

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Date: 23-Nov-2023
From: Federico Torrielli [federico.torrielli at unito.it]
Subject: The 29th International Conference on Natural Language & Information Systems


Full Title: The 29th International Conference on Natural Language &
Information Systems
Short Title: NLDB 2024

Date: 25-Jun-2024 - 27-Jun-2024
Location: Turin, Italy
Contact Person: Federico Torrielli
Meeting Email: federico.torrielli at unito.it
Web Site: https://nldb2024.di.unito.it/

Linguistic Field(s): Computational Linguistics; Text/Corpus
Linguistics; Translation
Subject Language(s): English (eng)

Call Deadline: 22-Mar-2024

Meeting Description:

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
Modelsand 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:

For the online version of this Call, visit:
https://nldb2024.di.unito.it/submissions/

===============

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

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



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