🔗 Who cites «Improving Topic Models with Latent Feature Word Representations»

36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «Improving Topic Models with Latent Feature Word Representations»

1. BERTopic: Neural topic modeling with a class-based TF-IDF procedurearXiv:2203.05794Maarten Grootendorst2022 · 1,737 citations
2. Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceAnnual Meeting of the Association for Computational Linguistics (ACL)Federico Bianchi, Silvia Terragni, Dirk Hovy2021 · 366 citations

34 more papers of our library cite it; they have no page here yet.

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