Papers by Anastasiia Bashmakova
TAPE: Assessing Few-shot Russian Language Understanding (2022.findings-emnlp)
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Ekaterina Taktasheva, Tatiana Shavrina, Alena Fenogenova, Denis Shevelev, Nadezhda Katricheva, Maria Tikhonova, Albina Akhmetgareeva, Oleg Zinkevich, Anastasiia Bashmakova, Svetlana Iordanskaia, Alena Spiridonova, Valentina Kurenshchikova, Ekaterina Artemova, Vladislav Mikhailov
| Challenge: | Recent advances in zero-shot and few-shot learning have shown promise for a scope of research and practical purposes, but lacks standardized evaluation suites for non-English languages. |
| Approach: | They propose a novel benchmark that includes six more complex NLU tasks for Russian, covering multi-hop reasoning, ethical concepts, logic and commonsense knowledge. |
| Outcome: | The proposed benchmark includes six more complex NLU tasks for Russian, covering multi-hop reasoning, ethical concepts, logic and commonsense knowledge. |
Modelling Narrative Elements in a Short Story: A Study on Annotation Schemes and Guidelines (2020.lrec-1)
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| Challenge: | Text-processing algorithms that annotate main components of a story are in great need of corpora and well-agreed annotation schemes. |
| Approach: | They propose a model that generalizes a narrative structure in the form of world building elements (characters, time and space) and text worlds themselves and switches between them. |
| Outcome: | The proposed model can be used for annotating narratives in corpora of literary texts, criminal evidence, teaching materials, quests, etc. |