3 citations · 6 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
Probing the Category of Verbal Aspect in Transformer Language Models
Anisia Katinskaia, Roman Yangarber
We investigate how pretrained language models (PLM) encode the grammatical category of verbal aspect in Russian. Encoding of aspect in transformer LMs has not been studied previous…
GPT-3.5 for Grammatical Error Correction
Anisia Katinskaia, Roman Yangarber
This paper investigates the application of GPT-3.5 for Grammatical Error Correction (GEC) in multiple languages in several settings: zero-shot GEC, fine-tuning for GEC, and using G…
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…
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…