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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)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)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)Exploring Content Models for Multi-Document Summarization., and . HLT-NAACL, page 362-370. The Association for Computational Linguistics, (2009)Robust Textual Inference via Graph Matching., , and . HLT/EMNLP, page 387-394. The Association for Computational Linguistics, (2005)Learning Bilingual Lexicons from Monolingual Corpora., , , and . ACL, page 771-779. The Association for Computer Linguistics, (2008)