5th International conference on Advanced Natural Language Processing (AdNLP 2024)
May 25 ~ 26, 2024, Vancouver, Canada
5th International conference on Advanced Natural Language Processing (AdNLP 2024)
May 25 ~ 26, 2024, Vancouver, Canada
Hybrid -- Registered authors can present their work online or face to face
SCOPE
The 5th International Conference on Advanced Natural Language Processing (AdNLP 2024) offers a premier global platform for the exchange of insights and findings pertaining to the theory, methods, and applications of Natural Language Computing and its advancements.
We invite authors to enrich the conference with their contributions by submitting articles showcasing research outcomes, projects, surveys, and industrial insights that highlight noteworthy progressions in NLP.
TOPICS OF INTEREST
Chunking/Shallow Parsing
Dialog Systems
Discourse
Information Extraction
Information Retrieval
Lexical Semantics
Linguistic Resources
Machine Translation
NLP and AI
NLP and Computational Linguistics
NLP and Information Retrieval
NLP and Machine Learning
Ontology
Paraphrasing/Entailment/Generation
Parsing/Grammatical Formalisms
Phonology, Morphology
POS Tagging
Question Answering
Semantic Processing
Speech Recognition and Synthesis
Spoken Language Processing
Statistical and Knowledge based Methods
Text Mining
Paper Submission
Authors are invited to submit papers through the conference Submission System by Closed. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from AdNLP 2024, after further revisions, will be published in the special issue of the following journals
International Journal on Computational Science & Applications (IJCSA)
Machine Learning and Applications: An International Journal (MLAIJ)
Hard copy of the proceedings will be distributed during the Conference.
The softcopy will be available on AIRCC digital library.
SPEAKERS
Ibrahim Alrayes
King Saud University
Saudi Arabia
Krishna Gogineni
Principal Engineer at Observe.AI
United States
Andrew Zheng
California State Polytechnic University
USA
Andrew Zheng
California State Polytechnic University
USA
Rasha Ragab Ahmed Awad
University of Leeds
United Kingdom
John Tsiligaridis
Heritage University
USA
Nikhil Ghadge
Okta.Inc
USA
Jessica J Lin
USA
Ada Zhou
USA
Lida Song
Canada
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