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Is Information Density Uniform in Task-Oriented Dialogues? ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.652/ Abstract: The Uniform Information Density principle states that speakers plan their utterances to reduce fluctuations in the density of the information transmitted. In this paper, we test whether, and within which contextual units this principle holds in task-oriented dialogues. We show that there is evidence supporting the principle in written dialogues where participants play a cooperative reference game as well as in spoken dialogues involving instruction giving and following. Our study underlines the importance of identifying the relevant contextual components, showing that information content increases particularly within topically and referentially related contextual units. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/s00c-6g08
https://underline.io/lecture/37401-is-information-density-uniform-in-task-oriented-dialoguesquestion
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Analysing Human Strategies of Information Transmission as a Function of Discourse Context ...
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Semantic shift in social networks ...
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Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations ...
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Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts ...
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Words are the Window to the Soul: Language-based User Representations for Fake News Detection ...
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Analysing Lexical Semantic Change with Contextualised Word Representations ...
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DUPS: Diachronic Usage Pair Similarity ...
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DUPS: Diachronic Usage Pair Similarity ...
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DUPS: Diachronic Usage Pair Similarity ...
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11
Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping
In: Cathcart, Chundra; Rama, Taraka (2020). Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping. In: Fernández, Raquel; Linzen, Tal. Proceedings of the 24th Conference on Computational Natural Language Learning. Online: Association for Computational Linguistics, 620-630. (2020)
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Identifying robust markers of Parkinson's disease in typing behaviour using a CNN-LSTM network.
Dhir, Neil; Bannard, Colin J; Stafford, Tom. - : Association for Computational Linguistics, 2020
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Evaluating the Representational Hub of Language and Vision Models ...
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Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts ...
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MALeViC: Modeling Adjectives Leveraging Visual Contexts ...
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MALeViC: Modeling Adjectives Leveraging Visual Contexts ...
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You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP ...
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Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ...
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La adquisición del lenguaje de tres a seis años y sus posibles trastornos
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Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ...
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