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Sources Matter: A Comparison of Fake News Datasets on Linguistic Feature Performance ...
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Language and Reasoning by Entropy Fractals
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In: Signals ; Volume 2 ; Issue 4 ; Pages 44-770 (2021)
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The Cultural Outcomes of Social Movements: A Computational Linguistics Approach
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In: Partecipazione e conflitto; Vol. 14, No. 3 (2021). Special Issue on: "When, where and which kind of collective action matters?"; 1151-1179 (2021)
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Une approche computationnelle de la complexité linguistique par le traitement automatique du langage naturel et l'oculométrie
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Living Machines atypical animacy dataset ...
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: British Library, 2020
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Machine learning methods for vector-based compositional semantics ...
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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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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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Defining distinctiveness: A computational and experimental analysis
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Learning to Parse Grounded Language using Reservoir Computing
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In: ICDL-Epirob 2019 - Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics ; https://hal.inria.fr/hal-02422157 ; ICDL-Epirob 2019 - Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, Aug 2019, Olso, Norway. ⟨10.1109/devlrn.2019.8850718⟩ ; https://ieeexplore.ieee.org/abstract/document/8850718 (2019)
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