--- title: "Nikita Kitaev — papers and cards" description: "Nikita Kitaev: 2 paper cards in the Research library (2019–2020), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/nikita-kitaev/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nikita-kitaev/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nikita Kitaev # Nikita Kitaev 2 paper cards in the Research library · 2019–2020 Nikita Kitaev wrote 2 of the papers Mova reads, in 2019–2020; often with [Dan Klein](https://md.research.elamur.ai/free/en/authors/dan-klein/), [Daniel Fried](https://md.research.elamur.ai/free/en/authors/daniel-fried/). [OpenAlex](https://openalex.org/A5011843361) · [**h-index 13**](https://openalex.org/authors/A5011843361) · [1524 citations](https://openalex.org/authors/A5011843361) · [17 works](https://openalex.org/works?filter=author.id:A5011843361) — 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=Nikita+Kitaev) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nikita+Kitaev) · [dblp](https://dblp.org/search?q=Nikita+Kitaev) · [ACL Anthology](https://aclanthology.org/search/?q=Nikita+Kitaev) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Nikita+Kitaev) ## Papers 1. **[Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference](https://md.research.elamur.ai/free/en/papers/acl-2020-kitaev-tetra-tagging-word-synchronous-parsing/)** *(2020)* The paper parses constituency trees by labeling each word with one of four "tetra-tags" that encode two binary structural decisions and two labels. 2. **[Cross-Domain Generalization of Neural Constituency Parsers](https://md.research.elamur.ai/free/en/papers/acl-2019-fried-cross-domain-generalization-neural-constituency/)** *(2019)* The paper trains constituency parsers on the WSJ and tests them zero-shot on Brown, Genia and the English Web Treebank, and on Chinese treebank domains. ## Co-authors (2) - [Dan Klein](https://md.research.elamur.ai/free/en/authors/dan-klein/) ×2 - [Daniel Fried](https://md.research.elamur.ai/free/en/authors/daniel-fried/) ## More papers in the library (3) Pages of the Research library: our summary, the ideas, references and who cites each. - [Reformer: The Efficient Transformer](https://md.research.elamur.ai/free/en/papers/kitaev-2020-reformer-efficient-transformer/) — Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya · 2020 - [Multilingual Constituency Parsing with Self-Attention and Pre-Training](https://md.research.elamur.ai/free/en/papers/kitaev-2019-multilingual-constituency-parsing-self-attention/) — Nikita Kitaev, Steven Cao, Dan Klein · 2019 - [Constituency Parsing with a Self-Attentive Encoder](https://md.research.elamur.ai/free/en/papers/kitaev-2018-constituency-parsing-self-attentive-encoder/) — Nikita Kitaev, Dan Klein · 2018