Abstract
The advances in artificial intelligence and the post-Google interests in information retrieval, in the recent decades, have made large-scale processing of human language data possible and produced impressive results in many language processing tasks. However, the wealth and the multilingualism of digital corpora have generated additional challenges for language processing and language technology. To overcome some of the challenges an adequate theory of this complex human language processing system is needed to integrate scientific knowledge from the fields of cognitive science and cognitive neuroscience, in particular. Over the last few years, emerging applications of NLP have taken a cognitive science perspective recognising that the modelling of the language processing is simply too complex to be addressed within a single discipline. This paper provides a synopsis of the latest emerging trends, methodologies, and applications in NLP with a cognitive science perspective, contributed by the researchers, practitioners, and doctoral students to the international workshops in Natural Language processing and Cognitive Science (NLPCS).
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Acknowledgements
The authors would like to take this opportunity to thank Michael Zock for his commitments and support in co-chairing the last seven workshops and to wish him a very happy retirement.
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Sharp, B. (2015). Towards a Cognitive Natural Language Processing Perspective. In: Gala, N., Rapp, R., Bel-Enguix, G. (eds) Language Production, Cognition, and the Lexicon. Text, Speech and Language Technology, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-08043-7_3
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