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bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval., , , , , and . PAKDD (3), volume 13937 of Lecture Notes in Computer Science, page 374-386. Springer, (2023)kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval., , , , , and . CoRR, (2022)Graph-based Representation Learning for Web-scale Recommender Systems., , , and . KDD, page 4784-4785. ACM, (2022)Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications., , , and . SIGMOD Conference, page 2287-2301. ACM, (2020)Joint Learning Improves Semantic Role Labeling., , and . ACL, page 589-596. The Association for Computer Linguistics, (2005)Better Word Alignments with Supervised ITG Models., , , and . ACL/IJCNLP, page 923-931. The Association for Computer Linguistics, (2009)A* Search via Approximate Factoring., , and . AAAI, page 1642-1645. AAAI Press, (2007)Fully distributed EM for very large datasets., , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 1184-1191. ACM, (2008)Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction., and . W-NUT, page 381-388. Association for Computational Linguistics, (2021)CTM - A Model for Large-Scale Multi-View Tweet Topic Classification., , and . NAACL-HLT (Industry Papers), page 247-258. Association for Computational Linguistics, (2022)