| 1. |
- Carrion del Fresno, Andrea, et al.
(författare)
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Dialogue strategies for... cómo se dice entrenamiento de vocabulario?
- 2022
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Ingår i: Eleni Gregoromichelaki, Julian Hough & John D. Kelleher (eds.): Proceedings of the 26th Workshop On the Semantics and Pragmatics of Dialogue. - 2308-2275.
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Konferensbidrag (refereegranskat)abstract
- We carry out a small-scale empirical study of a dialogue strategy (conversational pattern) found in second language learner dialogues where a language-assisting teacher is present, allowing learners to pick up new words and train on them while maintaining a conversation. We also provide a formal model of the observed conversational pattern including several frequently occurring variants, as well as a demonstration implementation which is able to reproduce the most common variant of the pattern.
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| 2. |
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| 3. |
- Cooper, Robin, 1947, et al.
(författare)
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Learning Language Games Probabilistically: From Crying to Compositionality
- 2022
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Ingår i: Probabilistic Approaches to Linguistic Theory, ed. by Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili, CSLI Publications. - Stanford : Center for the Study of Language and Information. - 9781684000791
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Bokkapitel (refereegranskat)
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| 4. |
- Decker, Amandine, 2000, et al.
(författare)
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Topic and genre in dialogue
- 2023
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Ingår i: Proceedings of the 27th Workshop on the Semantics and Pragmatics of Dialogue - Poster Abstracts, August 16–17, 2023, Maribor, Slovenia / Andy Lücking, Chiara Mazzocconi & Darinka Verdonik (eds.). - 2308-2275.
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Konferensbidrag (refereegranskat)
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| 5. |
- Dobnik, Simon, 1977, et al.
(författare)
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In Search of Meaning and Its Representations for Computational Linguistics
- 2022
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Ingår i: Proceedings of the 2022 CLASP Conference on (Dis)embodiment, Gothenburg and online 15–16 September 2022 / Simon Dobnik, Julian Grove and Asad Sayeed (eds.). - : Association for Computational Linguistics. - 2002-9764. - 9781955917674
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Konferensbidrag (refereegranskat)abstract
- In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.
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| 6. |
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| 7. |
- Khojah, Ranim, et al.
(författare)
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Evaluating N-best Calibration of Natural Language Understanding for Dialogue Systems
- 2022
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Ingår i: Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2022, 07-09 September 2022, Edinburgh, UK. - Stroudsburg, PA : Association for Computational Linguistics. - 9781955917667
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Konferensbidrag (refereegranskat)abstract
- A Natural Language Understanding (NLU) component can be used in a dialogue system to perform intent classification, returning an N-best list of hypotheses with corresponding confidence estimates. We perform an in-depth evaluation of 5 NLUs, focusing on confidence estimation. We measure and visualize calibration for the 10 best hypotheses on model level and rank level, and also measure classification performance. The results indicate a trade-off between calibration and performance. In particular, Rasa (with Sklearn classifier) had the best calibration but the lowest performance scores, while Watson Assistant had the best performance but a poor calibration.
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| 10. |
- Larsson, Staffan, 1969
(författare)
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Dialogue systems and EdTech
- 2022
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Ingår i: Swedish Dialogue Workshop 2022, 23–25 november 2022, Stockholm.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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