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pro vyhledávání: '"Rücker, Susanna"'
Autor:
Rücker, Susanna, Akbik, Alan
The CoNLL-03 corpus is arguably the most well-known and utilized benchmark dataset for named entity recognition (NER). However, prior works found significant numbers of annotation errors, incompleteness, and inconsistencies in the data. This poses ch
Externí odkaz:
http://arxiv.org/abs/2310.16225
Emotion lexicons describe the affective meaning of words and thus constitute a centerpiece for advanced sentiment and emotion analysis. Yet, manually curated lexicons are only available for a handful of languages, leaving most languages of the world
Externí odkaz:
http://arxiv.org/abs/2005.05672