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K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

, , , , , , , , и . (2020)cite arxiv:2002.01808.

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Tang Tang

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Yu Tang

 

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Deep learning for sentiment analysis: successful approaches and future challenges., , и . WIREs Data Mining Knowl. Discov., 5 (6): 292-303 (2015)Text Generation From Tables., , , , , и . IEEE ACM Trans. Audio Speech Lang. Process., 27 (2): 311-320 (2019)Sentiment Embeddings with Applications to Sentiment Analysis., , , , , и . IEEE Trans. Knowl. Data Eng., 28 (2): 496-509 (2016)Effidit: Your AI Writing Assistant., , , , , , , , , и 3 other автор(ы). CoRR, (2022)Aspect Level Sentiment Classification with Deep Memory Network., , и . EMNLP, стр. 214-224. The Association for Computational Linguistics, (2016)CodeBERT: A Pre-Trained Model for Programming and Natural Languages., , , , , , , , , и 1 other автор(ы). EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 1536-1547. Association for Computational Linguistics, (2020)GraphCodeBERT: Pre-training Code Representations with Data Flow., , , , , , , , , и 8 other автор(ы). ICLR, OpenReview.net, (2021)Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning., , , , , , и . AAAI, стр. 8960-8967. AAAI Press, (2020)Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification., , , , , и . ACL (1), стр. 1555-1565. The Association for Computer Linguistics, (2014)Syntax-Enhanced Pre-trained Model., , , , , , , , , и . ACL/IJCNLP (1), стр. 5412-5422. Association for Computational Linguistics, (2021)