7-1, 2 | 2021
Special Issue: Computational Dialogue Modelling: The Role of Pragmatics and Common Ground in Interaction
This special issue on ‘Computational Dialogue Modelling’ discusses recent approaches for modelling pragmatics and common ground in spoken human – human and human– machine interaction. Natural Language Processing (NLP), given the most recent scientific discoveries in the area of intelligent systems and distributed semantics, is now able to build interactive agents whose performance is getting more powerful from year to year. Simple ‘command-based’ models and dialogue state tracking methods are now widely available for very constrained tasks and domains and research in NLP is heading towards the design of more complex scenarios that need to take into account the role of pragmatics in dialogue systems as well as of grounding and commonground.
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Introduction to the Special Issue on Computational Dialogue Modelling [Testo integrale]
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Knowledge Modelling for Establishment of Common Ground in Dialogue Systems
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Discussion points raised by Francesco Cutugno and Maria Di Maro [Testo integrale]
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Response to the discussion points by Lina Varonina and Stefan Kopp [Testo integrale]
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How are gestures used by politicians? A multimodal co-gesture analysis [Testo integrale]
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Toward Data-Driven Collaborative Dialogue Systems: The JILDA Dataset [Testo integrale]
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Toward a linguistically grounded dialog model for chatbot design [Testo integrale]
Attualità
