Ryan Spring

Ryan Spring has 2 papers in our library, in 2020–2025, most of them on Question answering, English; often with Bryan Catanzaro, Keisuke Sakaguchi, Kentaro Inui.

2 papers in our library · 2020–2025

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Training Question Answering Models From Synthetic Data (2020 · 208 citations)
Extractive QA systems depend on costly human-annotated data, and question-answer pairs produced automatically have traditionally been much weaker than those written by people. The authors tackle this gap with large pretrained transformers. Their pipeline has three stages:
Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems (2025 · 3 citations)
Automated writing evaluation tools fix grammar well, but they mostly offer one-click direct edits. Language learners often gain more from short explanations or indirect hints, especially when an error breaks a general rule. The authors propose an annotation framework that records, for each learner error, an error…

6 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 85 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 30 October 2026