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2024-02-04 21:18:21
2024-06-25
Natural Language Processing (NLP) involves the utilization of computer systems to analyze, comprehend, and generate human languages. This encompasses various inputs such as text, spoken language, or keyboard interactions. Its functions range from translation between languages, comprehending and representing text content, constructing databases, generating summaries, to facilitating dialogues with users for information retrieval. NLP has become an integral part of people's lives, pervading various domains including entertainment, healthcare, databases, and e-governance.
The ICNLP conference serves as a global platform for the exchange of innovative ideas, bringing together researchers, students, developers, and practitioners interested in the realm of Natural Language Processing.
Scheduled from March 22nd to March 24th, 2024, ICNLP 2024, the 6th International Conference on Natural Language Processing, will take place in Xi'an, China. This event is co-sponsored by Xi'an University of Posts and Telecommunications and Beijing Institute of Control Robotics and Intelligent Technology (BICRI), and hosted by Xi'an University of Posts and Telecommunications, China.
1. Language Analysis and Representation:
Phonetics, Phonology, and Morphology;
Syntax, Semantics, Discourse, Pragmatics, Dialogue, and Lexicon;
Word and Sentence Representation;
word and sentence representation;
POS Tagging;
Parsing;
Semantic Role Labelling;
Word-Sense Disambiguation;
Multiword Expressions;
Anaphora Resolution;
2. Language Processing Models and Techniques:
Complexity;
Mathematical, Statistical, Machine Learning, and Deep Learning Models;
Mathematical and Statistical Models;
Machine Learning Models;
Deep Learning Models ;
3. Language Resources and Tools:
Language Resources and Corpora;
Electronic Dictionaries, Terminologies, and Ontologies;
Linked Data;
4. Multilingual and Cross-Lingual Processing:
Multilingual NLP;
Machine Translation, Translation Memory Systems, and Computer-Aided Translation Tools;
Text Simplification and Readability Estimation;
5. Information Extraction and Retrieval:
Knowledge Acquisition;
Information Retrieval;
Text Categorization;
Information Extraction;
Text Summarization;
Terminology Extraction;
Question Answering;
Fact Checking;
6. Sentiment Analysis and Human Interaction::
Opinion Mining and Sentiment Analysis;
Stance Recognition;
Author Profiling;
Dialogue Systems;
Computer-Aided Language Learning;
7. Specialized NLP Applications:
NLP for Biomedical Texts and Healthcare;
NLP for the Semantic Web;
8. Special Session I topics: Multi-modal Information Processing: Recent advances and applications
Single Modal Data Analysis;
Acquisition Techniques for Multi-Modal Data;
Multi-Modal Representation and Translation;
Multi-Modal Alignment and Fusion ;
Cross-Modal Retrieval, Co-Training, Transfer Learning, Few/Zero-Shot Learning;
Applications of Multi-Modal Information Processing;
