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Loukachevitch et al., 2024 - Google Patents

NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links

Loukachevitch et al., 2024

Document ID
1652361352829727469
Author
Loukachevitch N
Artemova E
Batura T
Braslavski P
Ivanov V
Manandhar S
Pugachev A
Rozhkov I
Shelmanov A
Tutubalina E
Yandutov A
Publication year
Publication venue
Language resources and evaluation

External Links

Snippet

This paper describes NEREL—a Russian news dataset suited for three tasks: nested named entity recognition, relation extraction, and entity linking. Compared to flat entities, nested named entities provide a richer and more complete annotation while also increasing the …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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