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Effective Document Labeling with Very Few Seed Words: A Topic Model Approach.

, , , and . CIKM, page 85-94. ACM, (2016)

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Who, where, when and what: discover spatio-temporal topics for twitter users., , , , and . KDD, page 605-613. ACM, (2013)Seed-Guided Topic Model for Document Filtering and Classification., , , , and . ACM Trans. Inf. Syst., 37 (1): 9:1-9:37 (2019)Will this #hashtag be popular tomorrow?, , and . SIGIR, page 1173-1174. ACM, (2012)Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation., , , , , , , and . CVPR, page 14054-14063. IEEE, (2022)Entity Recognition by Distant Supervision with Soft List Constraint., , , , and . ADMA, volume 10604 of Lecture Notes in Computer Science, page 681-694. Springer, (2017)EA-VTR: Event-Aware Video-Text Retrieval., , , , , , , , , and 1 other author(s). CoRR, (2024)Ranking user generated content using topic models. Nanyang Technological University, Singapore, (2015)Topic-aware response selection for dialog systems., , , and . Nat. Lang. Process. J., (2024)Learning Semantics-Grounded Vocabulary Representation for Video-Text Retrieval., , , , , , , , , and 3 other author(s). ACM Multimedia, page 4460-4470. ACM, (2023)Topic Modeling for Short Texts with Auxiliary Word Embeddings., , , , and . SIGIR, page 165-174. ACM, (2016)