--- title: "Julian Michael — papers and cards" description: "Julian Michael: 3 paper cards in the Research library (2018–2020), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/julian-michael/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/julian-michael/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Julian Michael # Julian Michael 3 paper cards in the Research library · 2018–2020 Julian Michael wrote 3 of the papers Mova reads, in 2018–2020, most of them on [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/); often with [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/), [Gabriel Stanovsky](https://md.research.elamur.ai/free/en/authors/gabriel-stanovsky/), [Ido Dagan](https://md.research.elamur.ai/free/en/authors/ido-dagan/). [OpenAlex](https://openalex.org/A5072681909) · [**h-index 20**](https://openalex.org/authors/A5072681909) · [8897 citations](https://openalex.org/authors/A5072681909) · [56 works](https://openalex.org/works?filter=author.id:A5072681909) — 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=Julian+Michael) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Julian+Michael) · [dblp](https://dblp.org/search?q=Julian+Michael) · [ACL Anthology](https://aclanthology.org/search/?q=Julian+Michael) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Julian+Michael) Topics: [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 3 ## Papers 1. **[Controlled Crowdsourcing for High-Quality QA-SRL Annotation](https://md.research.elamur.ai/free/en/papers/roit-2020-controlled-crowdsourcing-high-quality-qa/)** *(2020)* The paper shows that the crowdsourced QA-SRL data of 2018 has low coverage, with an estimated recall in the low 70s, and proposes a controlled protocol to fix it. 2. **[Large-Scale QA-SRL Parsing](https://md.research.elamur.ai/free/en/papers/fitzgerald-2018-large-scale-qa-srl-parsing/)** *(2018)* The paper releases QA-SRL Bank 2.0, which has 265,140 valid question-answer pairs for 64,018 sentences and 133,479 verbs across Wikipedia, Wikinews and science textbooks. 3. **[Crowdsourcing Question-Answer Meaning Representations](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/)** *(2018)* A QAMR represents a sentence's predicate-argument structure as a set of free-form wh-question / answer-span pairs about all its content words, not only verbs («How old is Pierre Vinken? – 61 years old», «What will he join the board as? – nonexecutive director»). ## Co-authors (9) - [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) ×3 - [Gabriel Stanovsky](https://md.research.elamur.ai/free/en/authors/gabriel-stanovsky/) ×2 - [Ido Dagan](https://md.research.elamur.ai/free/en/authors/ido-dagan/) ×2 - [Luheng He](https://md.research.elamur.ai/free/en/authors/luheng-he/) ×2 - [Ayal Klein](https://md.research.elamur.ai/free/en/authors/ayal-klein/) - [Daniela Stepanov](https://md.research.elamur.ai/free/en/authors/daniela-stepanov/) - [Jonathan Mamou](https://md.research.elamur.ai/free/en/authors/jonathan-mamou/) - Nicholas FitzGerald - Paul Roit ## More papers in the library (4) Pages of the Research library: our summary, the ideas, references and who cites each. - [GPQA: A Graduate-Level Google-Proof Q&A Benchmark](https://md.research.elamur.ai/free/en/papers/rein-2023-gpqa-graduate-level-google-proof/) — David Rein, Betty Li Hou, Asa Cooper Stickland, et al. · 2023 - [Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting](https://md.research.elamur.ai/free/en/papers/turpin-2023-language-models-don-t-always/) — Miles Turpin, Julian Michael, Ethan Perez, et al. · 2023 - [SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/) — Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al. · 2019 - [GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/wang-2018-glue-multi-task-benchmark-analysis/) — Alex Wang, Amanpreet Singh, Julian Michael, et al. · 2018