ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents (C18-1)
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| Challenge: | Existing methods for DA annotation are incompatible with each other and do not cover all aspects necessary for open-domain human-machine interaction. |
| Approach: | They propose to map publicly available corpora to a subset of the ISO standard and create a task-independent training corpus for DA classification. |
| Outcome: | The proposed method can train a domain-independent DA tagger on out-of-domain conversational data and achieve robustness across different DA categories. |
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The ISO Standard for Dialogue Act Annotation, Second Edition (2020.lrec-1)
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Harry Bunt, Volha Petukhova, Emer Gilmartin, Catherine Pelachaud, Alex Fang, Simon Keizer, Laurent Prévot
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MIDAS: A Dialog Act Annotation Scheme for Open Domain HumanMachine Spoken Conversations (2021.eacl-main)
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| Challenge: | Existing dialog act schemes are designed for human-human conversations, but are not suitable for automatic speech recognition. |
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