IJCoL · Italian Journal
of Computational Linguistics
Vol. 7, n. 1-2 · 2021
of Computational Linguistics
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.
THE COMPLETE VOLUME
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aAccademia University Press (registration required)
Openedition
THE INDIVIDUAL ARTICLES
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· TABLE OF CONTENTS ·
Knowledge Modelling for Establishment of Common Ground in Dialogue Systems
Lina Varonina, Stefan Kopp
How are gestures used by politicians? A multimodal co-gesture analysis
Daniela Trotta, Raffaele Guarasci
Toward Data-Driven Collaborative Dialogue Systems: The JILDA Dataset
Irene Sucameli, Alessandro Lenci, Bernardo Magnini, Manuela Speranza e Maria Simi
Analysis of Empathic Dialogue in Actual Doctor-Patient Calls and Implications for Design of Embodied Conversational Agents
Sana Salman, Deborah Richards
The Role of Moral Values in the Twitter Debate: a Corpus of Conversations
Marco Stranisci, Michele De Leonardis, Cristina Bosco, Viviana Patti
Computational Grounding: An Overview of Common Ground Applications in Conversational Agents
Maria Di Maro
Cutting melted butter? Common Ground inconsistencies management in dialogue systems using graph databases
Maria Di Maro, Antonio Origlia, Francesco Cutugno
Improving transfer-learning for Data-to-Text Generation via Preserving High-Frequency Phrases and Fact-Checking
Ethan Joseph, Mei Si, Julian Liaonag