FollowupQG: Towards information-seeking follow-up question generation

Publication
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Yan Meng
Masters Alumnus (Aug ‘22). Thesis: Towards Information-Seeking Follow-up Question Generation.

Masters Alumnus (Aug ‘22).

Liangming Pan
Doctoral Alumnus (Apr ‘22). Thesis: Towards Generating Deep Questions from Text.

Doctoral Alumnus (Apr ‘22).

Min-Yen Kan
Min-Yen Kan
Associate Professor

WING lead; interests include Digital Libraries, Information Retrieval and Natural Language Processing.