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Learning meaning representations for text generation with deep generative models ...
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Cao, Kris. - : Apollo - University of Cambridge Repository, 2020
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Abstract:
This thesis explores conditioning a language generation model with auxiliary variables. By doing so, we hope to be able to better control the output of the language generator. We explore several kinds of auxiliary variables in this thesis, from unstructured continuous, to discrete, to structured discrete auxiliary variables, and evaluate their advantages and disadvantages. We consider three primary axes of variation: how interpretable the auxiliary variables are, how much control they provide over the generated text, and whether the variables can be induced from unlabelled data. The latter consideration is particularly interesting: if we can show that induced latent variables correspond to the semantics of the generated utterance, then by manipulating the variables, we have fine-grained control over the meaning of the generated utterance, thereby learning simple meaning representations for text generation. We investigate three language generation tasks: open domain conversational response generation, ...
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Keyword:
computational linguistics; machine learning; natural language processing
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URL: https://dx.doi.org/10.17863/cam.52382
https://www.repository.cam.ac.uk/handle/1810/305297
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Modelling speaker adaptation in second language learner dialogue ...
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Towards Programming in Natural Language: Learning New Functions from Spoken Utterances ...
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Модели и методы анализа тональности в текстах на башкирском языке ... : Models and methods for sentiment analysis of texts in Bashkir language ...
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Pathways to the Native Storyteller: a method to enable computational story understanding
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In: College of Computing and Digital Media Dissertations (2020)
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Towards Programming in Natural Language: Learning New Functions from Spoken Utterances
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In: International journal of semantic computing, 14 (2), 249–272 ; ISSN: 1793-351X, 1793-7108 (2020)
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Modelling speaker adaptation in second language learner dialogue
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