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Domain Adaptation with Latent Semantic Association for Named Entity Recognition., , , , , и . HLT-NAACL, стр. 281-289. The Association for Computational Linguistics, (2009)Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification., , , , , и . EMNLP/IJCNLP (1), стр. 5558-5567. Association for Computational Linguistics, (2019)Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement., , , , и . EMNLP (1), стр. 8130-8141. Association for Computational Linguistics, (2021)Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis., , , , и . CoNLL, стр. 970-979. Association for Computational Linguistics, (2019)Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains., , и . EMNLP, стр. 509-516. ACL, (2006)Address standardization with latent semantic association., , , , и . KDD, стр. 1155-1164. ACM, (2009)Computer and Information Technology Analysis of Internet Finance's Supporting Strategy for College Students' Innovation and Entrepreneurship.. ATCI, том 1244 из Advances in Intelligent Systems and Computing, стр. 22-27. Springer, (2020)Floatcascade learning for fast imbalanced web mining., , , , , и . WWW, стр. 71-80. ACM, (2008)Hidden sentiment association in chinese web opinion mining., , , , , , , и . WWW, стр. 959-968. ACM, (2008)RTS - an integrated analytic solution for managing regulation changes and their impact on business compliance., , , , , , , , , и 1 other автор(ы). Conf. Computing Frontiers, стр. 24:1-24:8. ACM, (2013)