Papers by Volha Petukhova
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
| Challenge: | ISO standard 24617-2 for dialogue act annotation has been used in corpus annotation and in the design of components for spoken and multimodal interactive systems. |
| Approach: | ISO standard 24617-2 for dialogue act annotation is proposed for a second edition . this second edition allows a more accurate annotation of dependence relations and rhetorical relations in dialogue. |
| Outcome: | The proposed second edition of ISO 24617-2 for dialogue act annotation addresses some inaccuracies and undesirable limitations. |
The Metalogue Debate Trainee Corpus: Data Collection and Annotations (L18-1)
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Volha Petukhova, Andrei Malchanau, Youssef Oualil, Dietrich Klakow, Saturnino Luz, Fasih Haider, Nick Campbell, Dimitris Koryzis, Dimitris Spiliotopoulos, Pierre Albert, Nicklas Linz, Jan Alexandersson
| Challenge: | Argumentation is an important component of human intelligence and is used to train lawyers and citizens in legal domains. |
| Approach: | They describe the Metalogue Debate Trainee Corpus (DTC) which contains data on motion and speech capture devices and semantic annotations. |
| Outcome: | The metalogue Debate Trainee Corpus (DTC) was developed to facilitate the design of instructional and interactive models for the Virtual Debate Coach application. |
Who Did You Blame When Your Project Failed? Designing a Corpus for Presupposition Generation in Cross-Examination Dialogues (2024.lrec-main)
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| Challenge: | Existing models for presupposition generation fail to generate complete lists of presuffpositions. |
| Approach: | They propose to fine-tune existing BERT and T5 models for a task where a model produces a list of presuppositions carried by the given input sentence. |
| Outcome: | The proposed models outperform BERT and T5 models on the novel task of presupposition as natural language inference (PNLI) despite limited data, they achieved an emerging proficiency in generation of presumptions reaching ROUGE scores of 43.47, adhering to systematic patterns that mirror valid strategies for pres upposition generation, although failed to generate the complete lists. |
Annotating Customer-Oriented Behaviour in Call Centre Sales Dialogues (2024.lrec-main)
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| Challenge: | Customer-oriented behaviour (COB) is often hindered by a lack of clarity in its definition and lack of robust analytical, categorization, and computational approaches. |
| Approach: | They propose a conceptual and empirical framework for customer-oriented behaviour in call centre interactions . they aim to identify facets of COB that positively impact on Customer Satisfaction . |
| Outcome: | The proposed framework improves our understanding of the dynamics shaping sales strategies in call centres and holds promise for practical applications in optimising customer-agent interactions. |
Towards Continuous Dialogue Corpus Creation: writing to corpus and generating from it (L18-1)
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| Challenge: | Existing methods to create dialogue corpora annotated with interoperable semantic information are based on ISO standard data models and tools. |
| Approach: | They propose to use a corpus as a shared repository for analysis and modelling of interactive dialogue behaviour and for implementation, integration and evaluation of dialogue system components. |
| Outcome: | The proposed method is applied to the design of two multimodal interactive applications - the Virtual Negotiation Coach and the Virtual Debate Coach. |