---
title: "Silvia Terragni — papers of 2021 — 2 papers, the most cited first"
description: "Silvia Terragni — papers of 2021: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Silvia Terragni](https://md.research.elamur.ai/free/en/authors/silvia-terragni/) / 2021

# Silvia Terragni — papers of 2021 — 2 papers, the most cited first

2 papers · [all years of Silvia Terragni](https://md.research.elamur.ai/free/en/authors/silvia-terragni/#years)

**[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*

**[Cross-lingual Contextualized Topic Models with Zero-shot Learning](https://md.research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Federico Bianchi, Silvia Terragni, Dirk Hovy, et al.*2021 · 215 citations*
