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Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems.

, , , , , , , , , , и . ACL/IJCNLP (1), стр. 7014-7027. Association for Computational Linguistics, (2021)

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Daniel Maira

Martin Mairandres

Gaby Mairamhof

Maira Mildred Susanne Baderschneider

Amal Dé

 

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A User Interface with Taxonomy Features for Content Curators of Chatbots., , , , , , и . HCI (37), том 1580 из Communications in Computer and Information Science, стр. 439-446. Springer, (2022)Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems., , , , , , , , , и 1 other автор(ы). ACL/IJCNLP (1), стр. 7014-7027. Association for Computational Linguistics, (2021)Prediction of CO2 Adsorption in Nano-Pores with Graph Neural Networks., , , , , и . CoRR, (2022)Multi-Agent System Architecture to Measure Patient Engagement Based on Automatic Patient Authored Text Analysis., , и . AMIA, AMIA, (2017)HUMAINE: Human Multi-Agent Immersive Negotiation Competition., , , , , , , и . CHI Extended Abstracts, стр. 1-10. ACM, (2020)A Clustering-based Approach to Detect Probable Outcomes of Lawsuits., , и . CIKM, стр. 1831-1834. ACM, (2015)Learning Multi-Party Turn-Taking Models from Dialogue Logs., , , и . CoRR, (2019)Specifying and Implementing Multi-Party Conversation Rules with Finite-State-Automata., , , и . AAAI Workshops, том WS-18 из AAAI Technical Report, стр. 713-719. AAAI Press, (2018)Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue., , , , , и . IJCAI, стр. 6512-6514. ijcai.org, (2019)Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms., , , , , , , , , и 1 other автор(ы). CoRR, (2020)