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View all- Liu R(2019)Identification of Conclusive Association Entities by Biomedical Association MiningIntelligent Information and Database Systems10.1007/978-3-030-14799-0_9(103-114)Online publication date: 7-Mar-2019
In natural language understanding, extraction of named entity (NE) mentions in given text and classification of the mentions into pre-defined NE types are important processes. Most NE recognition (NER) relies on resources such as a training corpus or NE ...
Agglomerating results from studies of individual biological components has shown the potential to produce biomedical discovery and the promise of therapeutic development. Such knowledge integration could be tremendously facilitated by automated text ...
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 ...
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