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# Julian Michael

3 paper cards in Mova's library · 2018–2020

Julian Michael wrote 3 of the papers Mova reads, in 2018–2020, most of them on [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/); often with [Luke Zettlemoyer](https://md.mova.elamur.ai/free/en/docs/papers/authors/luke-zettlemoyer/), [Gabriel Stanovsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/gabriel-stanovsky/), [Ido Dagan](https://md.mova.elamur.ai/free/en/docs/papers/authors/ido-dagan/).

[OpenAlex](https://openalex.org/A5072681909) · [**h-index 20**](https://openalex.org/authors/A5072681909) · [9171 citations](https://openalex.org/authors/A5072681909) · [56 works](https://openalex.org/works?filter=author.id:A5072681909) — openalex, 2026-10-18

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.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 3

## Papers

1. **[Controlled Crowdsourcing for High-Quality QA-SRL Annotation](https://md.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/papers/authors/luke-zettlemoyer/) ×3
- [Gabriel Stanovsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/gabriel-stanovsky/) ×2
- [Ido Dagan](https://md.mova.elamur.ai/free/en/docs/papers/authors/ido-dagan/) ×2
- [Luheng He](https://md.mova.elamur.ai/free/en/docs/papers/authors/luheng-he/) ×2
- [Ayal Klein](https://md.mova.elamur.ai/free/en/docs/papers/authors/ayal-klein/)
- [Daniela Stepanov](https://md.mova.elamur.ai/free/en/docs/papers/authors/daniela-stepanov/)
- [Jonathan Mamou](https://md.mova.elamur.ai/free/en/docs/papers/authors/jonathan-mamou/)
- Nicholas FitzGerald
- Paul Roit
- [← previous Julia Hirschberg](https://md.mova.elamur.ai/free/en/docs/papers/authors/julia-hirschberg/)
- [next → Julie Weeds](https://md.mova.elamur.ai/free/en/docs/papers/authors/julie-weeds/)
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