3 citations · 9 across the 4 of their papers we have counts for
4 papers
Learning Item Embeddings and Hyperparameters for IRT Calibration via Monte Carlo EM
James Sharpnack, Kai-Ling Lo
High-stakes computerized adaptive tests (CATs) must continually calibrate new items in their item bank. When an item is new, few responses are available, so item parameter estimate…
GPoeT-2: A GPT-2 Based Poem Generator
Kai-Ling Lo, Rami Ariss, Philipp Kurz
This project aims to produce the next volume of machine-generated poetry, a complex art form that can be structured and unstructured, and carries depth in the meaning between the l…
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model
Hao-Tong Ye, Kai-Ling Lo, Shang-Yu Su +1
End-to-end dialogue generation has achieved promising results without using handcrafted features and attributes specific for each task and corpus. However, one of the fatal drawbac…
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns
Shang-Yu Su, Kai-Ling Lo, Yi-Ting Yeh +1
Natural language generation (NLG) is a critical component in spoken dialogue systems. Classic NLG can be divided into two phases: (1) sentence planning: deciding on the overall sen…