Christopher Klein — accepted AI-conference papers

2021

Generating Natural Questions from Images for Multimodal Assistants

Alkesh Patel, Akanksha Bindal, Hadas Kotek, Christopher Klein, Jason D. Williams

ICASSP 2021accepted

Generating natural, diverse, and meaningful questions from images is an essential task for multimodal assistants as it confirms whether they have understood the object and scene in the images properly. The research in visual question answering (VQA) and visual question generation (VQG) is a great st…

Cited by 0 Source ↗Scholar ↗

2020

Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution

David Q. Sun, Hadas Kotek, Christopher Klein, Mayank Gupta, William Li, Jason D. Williams

COLING 2020main

This paper develops and implements a scalable methodology for (a) estimating the noisiness of labels produced by a typical crowdsourcing semantic annotation task, and (b) reducing the resulting error of the labeling process by as much as 20-30% in comparison to other common labeling strategies. Impo…

Cited by 14 Source ↗PDF ↗Scholar ↗