Topics

Relevant topics of ICNLP 2022 include, but are not limited to, the following:

phonetics, phonology, and morphology;
syntax, semantics, discourse, pragmatics, dialogue, and lexicon;
complexity;
mathematical, statistical, machine learning and deep learning models;
word and sentence representation;
language resources and corpora;
electronic dictionaries, terminologies and ontologies;
linked data;
POS tagging;
parsing;
semantic role labelling;
 

word-sense disambiguation;
multiword expressions;
textual entailment;
anaphora resolution;
language generation;
speech recognition;
text-to-speech synthesis;
multilingual NLP;
machine translation, translation memory systems and computer-aided translation tools, text simplification and readability estimation;
knowledge acquisition;
information retrieval;
text categorisation;

information extraction;
text summarisation;
terminology extraction;
question answering;
opinion mining and sentiment analysis;
fact checking;
stance recognition;
author profiling;
dialogue systems;
computer-aided language learning;
NLP for biomedical texts and healthcare;
NLP for the Semantic web;

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