Papers by Kirill Milintsevich

2 papers
Analyzing Symptom-based Depression Level Estimation through the Prism of Psychiatric Expertise (2024.lrec-main)

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Challenge: Existing approaches to automate depression estimation ignore medical professionals' knowledge of the problem.
Approach: They propose to integrate domain experts' knowledge into a DAIC-WOZ dataset and propose a transformer-based model that incorporates their annotations.
Outcome: The proposed model shows a strong correlation between the psychological tendencies of medical professionals and the behavior of the proposed model.
Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources (2021.eacl-main)

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Challenge: a hybrid approach to lemmatization enhances the seq2seq neural model with additional lemmas extracted from an external lexicon or a rule-based system.
Approach: They propose a hybrid approach that enhances a seq2seq neural model with additional lemmas extracted from an external lexicon or a rule-based system.
Outcome: The proposed model achieves statistically significant improvements on 23 UD languages, compared to baseline models not utilizing additional lemma information.

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