Yevgen Matusevych
Yevgen Matusevych wrote 2 of the papers Mova reads, in 2019–2026, most of them on Dependency parsing, Part-of-speech tagging; often with Arianna Bisazza, Bastian Bunzeck, Francesca Padovani.
OpenAlex · ORCID · h-index 5 · 108 citations · 49 works — openalex, 2026-10-18
Topics: Dependency parsing 1 · Part-of-speech tagging 1
Papers
- CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions (2026)
The authors train a biaffine dependency parser (SuPar, with RoBERTa-large) on the gold part of UD-English-CHILDES, about 48k manually corrected sentences, and add a POS tagger and an utterance-level construction tagger. - Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection (2019)
Kirov and Cotterell (2018) reported that an encoder-decoder network with attention fits human nonce-word past tenses better than an older rule model.
Co-authors (8)
- Arianna Bisazza
- Bastian Bunzeck
- Francesca Padovani
- Jaap Jumelet
- Maria Corkery
- Nathan Schneider
- Sharon Goldwater
- Xiulin Yang
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/yevgen-matusevych/