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;