Sherry Yong Chen

Sherry Yong Chen has 2 papers in our library, in 2020–2021, most of them on Coreference resolution, Language models & pretraining; often with Bob van Tiel, Jennifer Hu, Roger Levy.

2 papers in our library · 2020–2021

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: the number of works on each and its rating among them.

The most cited first (OpenAlex and our library).

A closer look at the performance of neural language models on reflexive anaphor licensing (2020 · 24 citations)
Earlier studies (Marvin and Linzen, 2018; Futrell et al., 2018) concluded that neural language models (NLMs) fail to learn English reflexive anaphor licensing (RAL), meaning the rules that decide which noun phrase can serve as the antecedent of words like himself or themselves.
Every ambiguity isn't syntactic in nature: Testing the Rational Speech Act model of scope ambiguity\ensuremath* (2021 · 3 citations)
The paper asks how much of the ambiguity in sentences like "Every horse didn't jump over the fence" comes from syntax and how much from pragmatics.

3 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 16 times (of the 141,840 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 24 October 2026