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researcher

Roman Yangarber

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI1
ORCID 0000-0001-5264-9870

identity via Semantic Scholar / OpenAlex

most citedNeural disambiguation of lemma and part of speech in morphologically rich languages

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2024

Implicit assessment of language learning during practice as accurate as explicit testing

Jue Hou, Anisia Katinskaia, Anh-Duc Vu +1

Assessment of proficiency of the learner is an essential part of Intelligent Tutoring Systems (ITS). We use Item Response Theory (IRT) in computer-aided language learning for asses…

cs.CL2024

What do Transformers Know about Government?

Jue Hou, Anisia Katinskaia, Lari Kotilainen +3

This paper investigates what insights about linguistic features and what knowledge about the structure of natural language can be obtained from the encodings in transformer languag…

cs.CL2024

Cross-lingual Named Entity Corpus for Slavic Languages

Jakub Piskorski, Michał Marcińczuk, Roman Yangarber

This paper presents a corpus manually annotated with named entities for six Slavic languages - Bulgarian, Czech, Polish, Slovenian, Russian, and Ukrainian. This work is the result…

cs.CL2020★ 1 cited

Neural disambiguation of lemma and part of speech in morphologically rich languages

José María Hoya Quecedo, Maximilian W. Koppatz, Giacomo Furlan +1

We consider the problem of disambiguating the lemma and part of speech of ambiguous words in morphologically rich languages. We propose a method for disambiguating ambiguous words…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.