51 citations · 118 across the 6 of their papers we have counts for
6 papers
The Product Beyond the Model -- An Empirical Study of Repositories of Open-Source ML Products
Nadia Nahar, Haoran Zhang, Grace Lewis +2
Machine learning (ML) components are increasingly incorporated into software products for end-users, but developers face challenges in transitioning from ML prototypes to products.…
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners
Nadia Nahar, Haoran Zhang, Grace Lewis +2
Incorporating machine learning (ML) components into software products raises new software-engineering challenges and exacerbates existing challenges. Many researchers have invested…
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring
Haoran Zhang, Diane Litman
While automated essay scoring (AES) can reliably grade essays at scale, automated writing evaluation (AWE) additionally provides formative feedback to guide essay revision. However…
Co-Attention Based Neural Network for Source-Dependent Essay Scoring
Haoran Zhang, Diane Litman
This paper presents an investigation of using a co-attention based neural network for source-dependent essay scoring. We use a co-attention mechanism to help the model learn the im…
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing
Haoran Zhang, Ahmed Magooda, Diane Litman +5
Writing a good essay typically involves students revising an initial paper draft after receiving feedback. We present eRevise, a web-based writing and revising environment that use…
Word Embedding for Response-To-Text Assessment of Evidence
Haoran Zhang, Diane Litman
Manually grading the Response to Text Assessment (RTA) is labor intensive. Therefore, an automatic method is being developed for scoring analytical writing when the RTA is administ…