Papers by Anna Kuznetsova

3 papers
A Finite-State Morphological Analyser for Evenki (2020.lrec-1)

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Challenge: Evenki is a language with rich morphology, therefore a morphological analyser is highly desirable for processing Evenki texts.
Approach: They propose to use a morphological analyser for Evenki to analyze half of the corpus . they evaluate the morphology of available corpora and estimate accuracy, recall and F-score .
Outcome: The proposed morphological analyser can analyse less than a half of the available corpora on Evenki . it is based on the Helsinki Finite-State Transducer toolkit (HFST).
RusConText Benchmark: A Russian Language Evaluation Benchmark for Understanding Context (2025.acl-srw)

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Challenge: a new context understanding benchmark is proposed for short-context understanding in Russian . the benchmarks focus on broad reasoning tasks or long-concept comprehension, but are limited in their ability to perceive subtle nuances of context.
Approach: They propose a new benchmark for evaluating short-context understanding in Russian . they propose to use four tasks to assess model performance from a specific perspective .
Outcome: The proposed benchmark is adapted to Russian-language data.
Multimodal and Multilingual Laughter Detection in Stand-Up Comedy Videos (2024.lrec-main)

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Challenge: Using TED talks, we use laughter detection software to capture humor in the sitcom genre.
Approach: They develop a multimodal multilingual dataset in Russian and English with a particular emphasis on laughter detection techniques.
Outcome: The proposed model outperforms peak detection and machine learning, while the latter shows promise and warrants further study.

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