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All Outputs (7)

Underreporting of errors in NLG output, and what to do about it (2021)
Presentation / Conference Contribution
van Miltenburg, E., Clinciu, M.-A., Dušek, O., Gkatzia, D., Inglis, S., Leppänen, L., Mahamood, S., Manning, E., Schoch, S., Thomson, C., & Wen, L. (2021, September). Underreporting of errors in NLG output, and what to do about it. Presented at 14th International Conference on Natural Language Generation, Aberdeen, UK

We observe a severe under-reporting of the different kinds of errors that Natural Language Generation systems make. This is a problem, because mistakes are an important indicator of where systems should still be improved. If authors only report overa... Read More about Underreporting of errors in NLG output, and what to do about it.

Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems (2021)
Presentation / Conference Contribution
Strathearn, C., & Gkatzia, D. (2021, August). Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems. Presented at 14th International Conference on Natural Language Generation, Aberdeen

Conversational systems aim to generate responses that are accurate, relevant and engaging, either through utilising neural end-to-end models or through slot filling. Human-to-human conversations are enhanced by not only the latest utterance of the in... Read More about Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems.

The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents (2021)
Presentation / Conference Contribution
Strathearn, C., & Gkatzia, D. (2021, November). The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents. Presented at 4th International Conference on Natural Language and Speech Processing (ICNLSP 2021), Trento, Italy [Online]

This paper describes the Task2Dial dataset, a novel dataset of document-grounded task-based dialogues in the food preparation domain , where an Information Giver (IG) provides instructions to an Information Follower (IF) so that the latter can succes... Read More about The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents.

CAPE: Context-Aware Private Embeddings for Private Language Learning (2021)
Presentation / Conference Contribution
Plant, R., Gkatzia, D., & Giuffrida, V. (2021, November). CAPE: Context-Aware Private Embeddings for Private Language Learning. Presented at EMNLP 2021 Conference, Punta Cana, Dominican Republic [Online]

Neural language models have contributed to state-of-the-art results in a number of downstream applications including sentiment analysis, intent classification and others. However, obtaining text representations or embeddings using these models risks... Read More about CAPE: Context-Aware Private Embeddings for Private Language Learning.

It's Common Sense, isn't it? Demystifying Human Evaluations in Commonsense-enhanced NLG systems (2021)
Presentation / Conference Contribution
Mahamood, S., Clinciu, M., & Gkatzia, D. (2021, April). It's Common Sense, isn't it? Demystifying Human Evaluations in Commonsense-enhanced NLG systems. Presented at Workshop on Human Evaluation of NLP Systems (HumEval at EACL 2021), Kyiv, Ukraine (online)

Common sense is an integral part of human cognition which allows us to make sound decisions , communicate effectively with others and interpret situations and utterances. Endowing AI systems with commonsense knowledge capabilities will help us get cl... Read More about It's Common Sense, isn't it? Demystifying Human Evaluations in Commonsense-enhanced NLG systems.

"What's this?" Comparing Active learning Strategies for Concept Acquisition in HRI (2021)
Presentation / Conference Contribution
Belvedere, F., & Gkatzia, D. (2021, March). "What's this?" Comparing Active learning Strategies for Concept Acquisition in HRI. Presented at HRI'21: ACM/IEEE International Conference on Human-Robot Interaction, Online

Social robotics aim to equip robots with the ability to exhibit socially intelligent behaviour while interacting in a face-to-face context with human partners. An important aspect of face-to-face social interaction includes the efficient recognition... Read More about "What's this?" Comparing Active learning Strategies for Concept Acquisition in HRI.