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Posts by Collection
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publications
When to explain: Identifying explanation triggers in human-agent interaction
Published in Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence @ INLG, 2020
This paper proposes a first overview of when an explanation should be triggered in human-agent interaction and shows that there are many instances that would be missed if the agent solely relies on direct questions.
Recommended citation: Krause, L., & Vossen, P. (2020). When to explain: Identifying explanation triggers in human-agent interaction. 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 55–60. https://www.aclweb.org/anthology/2020.nl4xai-1.12 https://www.aclweb.org/anthology/2020.nl4xai-1.12.pdf
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Communicative Robots, TA
Graduate course, Vrije Universiteit Amsterdam, CLTL, 2020
Designed the Ethical considerations for application design in NLP student project, held a weekly paper discussion and supervised the final project.
Communicative Robots, TA
Graduate course, Vrije Universiteit Amsterdam, CLTL, 2021
Project: Exploring triple-to-text generation with text-to-text transformers
Python for Text Analysis, Co-Instructor
Graduate course, Vrije Universiteit Amsterdam, CLTL, 2021
Course materials can be found here.
Communicative Robots, TA
Graduate course, Vrije Universiteit Amsterdam, CLTL, 2022
Supervised a project for the ML Reproducibility Challenge 2022. The students successfully reproduced “DialSummEval: Revisiting Summarization Evaluation for Dialogues” by M. Gao and X. Wan (2022). The reproduction paper was accepted to the workshop and can be found here.