Papers by Tatiana Batura
TERMinator: A System for Scientific Texts Processing (2022.coling-1)
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| Challenge: | Existing datasets with annotations of scientific terms and relations are difficult to find for other fields, such as biomedical and multi-domains. |
| Approach: | They present a dataset that includes annotations for two tasks and develop a system called TERMinator for the study of the influence of language models on term recognition. |
| Outcome: | The proposed system improves the quality of the extracted entities and relations in Russian. |
Entity Linking over Nested Named Entities for Russian (2022.lrec-1)
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Natalia Loukachevitch, Pavel Braslavski, Vladimir Ivanov, Tatiana Batura, Suresh Manandhar, Artem Shelmanov, Elena Tutubalina
| Challenge: | Entity linking is a popular NLP task, where a system needs to link a named entity to a concept in a knowledge base such as Wikidata. |
| Approach: | They describe the main design principles behind entity linking annotation in the recently released Russian NEREL dataset for information extraction. |
| Outcome: | The NEREL dataset is the largest Russian dataset annotated with entities and relations. |