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pro vyhledávání: '"Uppunda, Ankith"'
Autor:
Uppunda, Ankith, Cochran, Susan D., Foster, Jacob G., Arseniev-Koehler, Alina, Mays, Vickie M., Chang, Kai-Wei
Coreference resolution is an important component in analyzing narrative text from administrative data (e.g., clinical or police sources). However, existing coreference models trained on general language corpora suffer from poor transferability due to
Externí odkaz:
http://arxiv.org/abs/2104.14703
Predicting missing facts in a knowledge graph (KG) is a crucial task in knowledge base construction and reasoning, and it has been the subject of much research in recent works using KG embeddings. While existing KG embedding approaches mainly learn a
Externí odkaz:
http://arxiv.org/abs/2010.03158