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;