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pro vyhledávání: '"Lim, Seonjae"'
Can a text classifier generalize well for datasets where the text length is different? For example, when short reviews are sentiment-labeled, can these transfer to predict the sentiment of long reviews (i.e., short to long transfer), or vice versa? W
Externí odkaz:
http://arxiv.org/abs/1909.08306
Publikováno v:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
A major proportion of a text summary includes important entities found in the original text. These entities build up the topic of the summary. Moreover, they hold commonsense information once they are linked to a knowledge base. Based on these observ
Externí odkaz:
http://arxiv.org/abs/1806.05504
Autor:
Shigella Yandug, Jenalyn, Ledres, Niño Chino B., Lim, SeonJae, Cruz, Valerie D., Yap, Dave Cullen G.
Publikováno v:
IEOM Annual International Conference Proceedings; 2020, p2238-2247, 10p