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1
Unsupervised compositionality prediction of nominal compounds
Cordeiro, S.; Villavicencio, A.; Idiart, M.. - : MIT Press - Journals, 2019
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2
A dual-attention hierarchical recurrent neural network for dialogue act classification
Li, R.; Lin, C.; Collinson, M.; Li, X.; Chen, G.. - : Association for Computational Linguistics (ACL), 2019
Abstract: Recognising dialogue acts (DA) is important for many natural language processing tasks such as dialogue generation and intention recognition. In this paper, we propose a dual-attention hierarchical recurrent neural network for DA classification. Our model is partially inspired by the observation that conversational utterances are normally associated with both a DA and a topic, where the former captures the social act and the latter describes the subject matter. However, such a dependency between DAs and topics has not been utilised by most existing systems for DA classification. With a novel dual task-specific attention mechanism, our model is able, for utterances, to capture information about both DAs and topics, as well as information about the interactions between them. Experimental results show that by modelling topic as an auxiliary task, our model can significantly improve DA classification, yielding better or comparable performance to the state-of-the-art method on three public datasets.
URL: https://eprints.whiterose.ac.uk/177032/
https://eprints.whiterose.ac.uk/177032/7/K19-1036.pdf
https://aclanthology.org/K19-1036
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3
When the whole is greater than the sum of its parts : multiword expressions and idiomaticity
Villavicencio, A.. - : Association for Computational Linguistics, 2019
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4
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
Bansal, M.; Villavicencio, A.. - : Association for Computational Linguistics (ACL), 2019
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5
Discovering multiword expressions
Villavicencio, A.; Idiart, M.. - : Cambridge University Press (CUP), 2019
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6
Empirical evaluation of sequence-to-sequence models for word discovery in low-resource settings
Boito, M.Z.; Villavicencio, A.; Besacier, L.. - : International Speech Communication Association (ISCA), 2019
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