Inproceedings3982
Automatic Hint Generation
Automatic Hint Generation
Published: 2023
Buchtitel: Proceedings of the 13th International Conference on the Theory of Information Retrieval (ICTIR'23)
Verlag: ACM
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BibTeX
Kurzfassung
At times when answers to user questions are readily and easily available (at essentially zero cost), it is important for humans to maintain their knowledge and strong reasoning capabilities. We believe that in many cases providing hints rather than final answers should be sufficient and beneficial for users as it requires thinking and stimulates learning as well as remembering processes. We propose in this paper a novel task of automatic hint generation that supports users in finding the correct answers to their questions without the need of looking the answers up. As the first attempt towards this new task, we design and implement an approach that uses Wikipedia to automatically provide hints for any input question-answer pair. We then evaluate our approach with a user group of 10 persons and demonstrate that the generated hints help users successfully answer more questions than when provided with baseline hints.
Download: Media:Hint_Generation_ICTIR2023.pdf
Information Retrieval, Natürliche Sprachverarbeitung