4 citations · 4 across the 4 of their papers we have counts for
4 papers
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
Maria Kunilovskaya, Gagan Bhatia, Lisa Sophie Albertelli +10
Human annotation is the empirical foundation of much NLP research, from dataset construction to model evaluation, but papers often leave unclear who produced the annotations and ho…
Translationese as a Rational Response to Translation Task Difficulty
Maria Kunilovskaya
Translated texts exhibit systematic differences from comparable texts originally written in the target language. Explaining this phenomenon, commonly known as translationese, remai…
EPIC-EuroParl-UdS: Information-Theoretic Perspectives on Translation and Interpreting
Maria Kunilovskaya, Christina Pollkläsener
This paper introduces an updated and combined version of the bidirectional English-German EPIC-UdS (spoken) and EuroParl-UdS (written) corpora containing original European Parliame…
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus
Andrey Kutuzov, Maria Kunilovskaya
In this paper, we present a distributional word embedding model trained on one of the largest available Russian corpora: Araneum Russicum Maximum (over 10 billion words crawled fro…