10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.HC2023★ 10 cited
The Utility of Large Language Models and Generative AI for Education Research
Andrew Katz, Umair Shakir, Ben Chambers
The use of natural language processing (NLP) techniques in engineering education can provide valuable insights into the underlying processes involved in generating text. While acce…
cs.LG2020★ 2 cited
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
Chenhan Yuan, Ryan Rossi, Andrew Katz +1
The models of n-ary cross sentence relation extraction based on distant supervision assume that consecutive sentences mentioning n entities describe the relation of these n entitie…
cs.CL2020★ 2 cited
Clustering-based Unsupervised Generative Relation Extraction
Chenhan Yuan, Ryan Rossi, Andrew Katz +1
This paper focuses on the problem of unsupervised relation extraction. Existing probabilistic generative model-based relation extraction methods work by extracting sentence feature…