--- title: "Robert Frank — papers and cards" description: "Robert Frank: 2 paper cards in the Research library (2019–2023), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/robert-frank/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/robert-frank/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Robert Frank # Robert Frank 2 paper cards in the Research library · 2019–2023 Robert Frank wrote 2 of the papers Mova reads, in 2019–2023, most of them on [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/); often with Gigi Stark, Michael Wilson, William Merrill. [OpenAlex](https://openalex.org/A5071457812) · [ORCID](https://orcid.org/0000-0001-9253-1658) · [**h-index 20**](https://openalex.org/authors/A5071457812) · [2131 citations](https://openalex.org/authors/A5071457812) · [82 works](https://openalex.org/works?filter=author.id:A5071457812) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Robert+Frank) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Robert+Frank) · [dblp](https://dblp.org/search?q=Robert+Frank) · [ACL Anthology](https://aclanthology.org/search/?q=Robert+Frank) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Robert+Frank) Topics: [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) 1 ## Papers 1. **[Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best](https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/)** *(2023)* The paper studies what determines whether T5-style sequence-to-sequence transformers get English subject–verb agreement right, where the correct verb form depends on structure rather than on the nearest noun. 2. **[Detecting Syntactic Change Using a Neural Part-of-Speech Tagger](https://md.research.elamur.ai/free/en/papers/merrill-2019-detecting-syntactic-change-neural-part/)** *(2019)* The paper trains a diachronic LSTM part-of-speech tagger on American English from the 19th, 20th and 21st centuries (COHA), with the year of each text as an input. ## Co-authors (4) - Gigi Stark - Michael Wilson - William Merrill - Zhenghao Zhou ## More papers in the library (2) Pages of the Research library: our summary, the ideas, references and who cites each. - [Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks](https://md.research.elamur.ai/free/en/papers/mccoy-2020-does-syntax-need-grow-trees/) — R. Thomas McCoy, Robert Frank, Tal Linzen · 2020 - [Open Sesame: Getting inside BERT's Linguistic Knowledge](https://md.research.elamur.ai/free/en/papers/lin-2019-open-sesame-getting-inside-bert/) — Yongjie Lin, Yi Chern Tan, Robert Frank · 2019