19 citations · 32 across the 11 of their papers we have counts for
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cs.CL2023
Towards Generalising Neural Topical Representations
Xiaohao Yang, He Zhao, Dinh Phung +1
Topic models have evolved from conventional Bayesian probabilistic models to recent Neural Topic Models (NTMs). Although NTMs have shown promising performance when trained and test…
cs.CL2023
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen +6
Dialogue acts (DAs) can represent conversational actions of tutors or students that take place during tutoring dialogues. Automating the identification of DAs in tutoring dialogues…
cs.CL2023★ 1 cited
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification
Wei Tan, Jionghao Lin, David Lang +4
Dialogue Acts (DAs) can be used to explain what expert tutors do and what students know during the tutoring process. Most empirical studies adopt the random sampling method to obta…