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CLASP Papers in Computational Linguistics
(Centre for Linguistic Theory and Studies in Probability (CLASP), 2017-11)
The past two decades have seen impressive progress in a variety of areas of AI, particularly NLP, through the application of machine learning methods to a wide range of tasks. With the intensive use of deep learning methods ...
Semantic change in interaction: Studies on the dynamics of lexical meaning
(2023-03-28)
This compilation thesis investigates how word meanings change. In particular, it's concerned semantic change at the levels of interaction and the speech community. To this end, the compiled studies employ methods from both ...
Proceedings of the 2022 CLASP Conference on (Dis)embodiment
(The Association for Computational Linguistics, 2022-09-14)
Dis)embodiment brings together researchers from several areas examining the role of grounding and embodiment in modelling human language and behaviour – or limits thereof. The conference covers areas such as machine learning, ...
Proceedings of the 2023 CLASP Conference on Learning with Small Data
(The Association for Computational Linguistics, 2023-09-10)
The purpose of our conference is to bring together researchers from several areas of NLP, addressing datasets, methods and limits of effective (machine) learning with small data containing natural language and associated ...
Computational Models of Language and Vision: Studies of Neural Models as Learners of Multi-Modal Knowledge
(2024-05-16)
This thesis develops and evaluates computational models that generate natural language descriptions of visual content. We build and examine models of language and vision to gain a deeper understanding of how they reflect ...