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Conference Call for Papers
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 and phonology, morphology, lexicon, syntax, semantics, discourse, pragmatics, dialogue, mathematical foundations, formal grammars and languages, finite-state technology, statistical models for natural language processing, machine learning, word embeddings, deep learning for NLP, similarity, evaluation, sublanguages and controlled languages, lexicography, language resources and corpora, terminology, corpus annotation, ontologies, complexity, text segmentation, POS tagging, parsing, semantic role labelling, word-sense disambiguation, computational treatment of multiword expressions, textual entailment, anaphora and coreference resolution, temporal processing, natural language generation, speech recognition, text-to-speech synthesis, knowledge acquisition, text categorisation, machine translation, including statistical machine translation and neural machine translation, translation technology including translation memory systems, information retrieval, information extraction, event extraction, question answering, text summarisation, term extraction, text and web mining, opinion mining and sentiment analysis, multimodal systems, natural language processing for educational applications, automated writing assistance, text simplification, NLP for biomedical texts, author profiling and related applications, application-orientated papers related to NLP, chatbots, fact checking, computer-aided language learning, stance detection, computational cognitive modelling, dialect processing, language and vision, multilingual NLP, NLP for language disorders, NLP for social media, NLP for the semantic web, patents search, theoretical NLP, theoretical papers related to NLP. As aforementioned, this is an indicative but not exhaustive list of topics.