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Showing 1 to 6 of 6 for “"task-oriented dialogue"”.

  1. Natural Language Understanding and Generation for Task-Oriented Dialogue

    … development of many NLP research areas. Still, task-oriented dialogue modelling remains challenging due to both the inherent complexity of human language and task difficulty. Moreover, building such systems usually relies on large amounts of data with fine-grained annotations, and in many …

    cambridge Repository record for Natural Language Understanding and Generation for Task-Oriented Dialogue (opens in a new tab)

  2. Data-Driven Policy Optimisation for Multi-Domain Task-Oriented Dialogue

    … conversational agents that act optimally given a dialogue context is an open challenge. The first step towards that goal is developing an efficient way of learning a dialogue policy in new domains. Secondly, it is important to have the ability to collect and utilise human-human conversational data …

    cambridge Repository record for Data-Driven Policy Optimisation for Multi-Domain Task-Oriented Dialogue (opens in a new tab)

  3. Advancing Language Equity and Sample Efficiency in Task-Oriented Dialogue Systems

    Task-oriented dialogue (TOD) systems provide a natural way for humans to interact with machines to accomplish their everyday tasks. While this widely useful technology should benefit everyone equally, it has been mostly developed for English and several high-resource languages, resulting in a …

    cambridge Repository record for Advancing Language Equity and Sample Efficiency in Task-Oriented Dialogue Systems (opens in a new tab)

  4. Practical neural dialogue management using pretrained language models

    Task-oriented dialogue systems pose a significant challenge due to their complexity and the need to handle components such as language understanding, state tracking, action selection, and language generation. In this work, we explore the improvements in dialogue management using pretrained language …

    charles-prague Repository record for Practical neural dialogue management using pretrained language models (opens in a new tab)

  5. Modelling Speech Acts in Conversational Discourse

    Computational pragmatics and dialogue analysis is currently a rapid growing area of research in computational linguistics. Over the past five years or so, initiatives in modelling pragmatic aspects of dialogue have led to considerably improved spoken language dialogue systems � so much so in fact …

    whiterose Repository record for Modelling Speech Acts in Conversational Discourse (opens in a new tab)