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ERNIE: Enhanced Language Representation with Informative Entities
時間 2021-01-09
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ERNIE: Enhanced Language Representation with Informative Entities 當前的預訓練語言模型中沒有融入KGs信息。而KGs能夠爲語言理解提供豐富的結構化信息。因此本文提出一種基於大規模語料和KGs訓練的增強語言模型ERNIE。實驗證明在knowledge-driven任務上,相比於bert取得顯著提升。 bert融合上下文,ernie融合
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相關文章
1.
ERNIE: Enhanced Language Representation with Informative Entities
2.
論文閱讀---ERNIE: Enhanced Language Representation with Informative Entities
3.
ERNIE-Enhanced Language Representation with Informative Entities 閱讀筆記
4.
ERNIE: Enhanced Language Representation with Informative Entities 論文研讀
5.
(2019ACL)ERNIE:Enhanced Language Representation with Informative Entities
6.
ELMO/GPT/BERT/ERNIE
7.
【EMNLP2019】Event Representation Learning Enhanced with External Commonsense Knowledge
8.
ERNIE: Enhanced Representation through Knowledge Integration(百度)論文翻譯
9.
[ACL2017]Enhanced LSTM for Natural Language Inference
10.
SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 論文閱讀筆記
>>更多相關文章<<