RANLP 2021 : Recent Advances in Natural Language Processing

We invite papers reporting recent advances in all aspects of Natural Language Processing (NLP). We encourage contributions from a broad range of areas including, but not limited to, the following topics: phonetics, phonology, and morphology; syntax, semantics, discourse, pragmatics, dialogue, and lexicon; complexity; mathematical, statistical, machine learning and deep learning models; 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; NLP for the Semantic web; theoretical and application-orientated papers related to NLP.