--- title: "Who cites Cross-lingual Contextualized — 61 citing papers" description: "61 papers of the Elamur Research library cite «Cross-lingual Contextualized Topic Models with Zero-shot Learning», found in their…" canonical: "https://research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Cross-lingual Contextualized Topic Models with…](https://md.research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/) / cited by # Who cites «Cross-lingual Contextualized Topic Models with Zero-shot Learning» 61 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Cross-lingual Contextualized Topic Models with Zero-shot Learning»](https://md.research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/) 1. [**BERTopic: Neural topic modeling with a class-based TF-IDF procedure arXiv:2203.05794**Maarten Grootendorst*2022 · 1,732 citations*](https://md.research.elamur.ai/free/en/papers/grootendorst-2022-bertopic-neural-topic-modeling-class/) 2. **[Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence](https://md.research.elamur.ai/free/en/papers/bianchi-2021-pre-training-is-hot-topic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Federico Bianchi, Silvia Terragni, Dirk Hovy*2021 · 366 citations* 3. **[Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/nozza-2021-exposing-limits-zero-shot-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Debora Nozza*2021 · 127 citations* 58 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/) — Cross-lingual Contextualized Topic Models with Zero-shot Learning