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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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Modelling speaker adaptation in second language learner dialogue ...
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Abstract:
Understanding how tutors and students adapt to one another within Second Language (L2) learning is an important step in the development of better automated tutoring tools for L2 conversational practice. Such an understanding can not only inform conversational agent design, but can be useful for other pedagogic applications such as formative assessment, self reflection on tutoring practice, learning analytics, and conversation modelling for personalisation and adaptation. Dialogue is a challenging domain for natural language processing, understanding, and generation. It is necessary to understand how participants adapt to their interlocutor, changing what they express and how they express it as they update their beliefs about the knowledge, preferences, and goals of the other person. While this adaptation is natural to humans, it is an open problem for dialogue systems, where managing coherence across utterances is an active area of research, even without adaptation. This thesis extends our understanding of ...
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Keyword:
adaptation; AI; alignment; computational linguistics; conversation analysis; dialogue; dialogue agent; language learning; linguistic alignment; linguistic complexity; machine learning; natural language processing; second language
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URL: https://dx.doi.org/10.7488/era/310
https://era.ed.ac.uk/handle/1842/37009
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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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