---
title: "Dirk Hovy — papers of 2021 — 6 papers, the most cited first"
description: "Dirk Hovy — papers of 2021: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Dirk Hovy — papers of 2021 — 6 papers, the most cited first

6 papers · [all years of Dirk Hovy](https://md.research.elamur.ai/free/en/authors/dirk-hovy/#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*

**[The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dirk Hovy, Diyi Yang*2021 · 238 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*

**[HONEST: Measuring Hurtful Sentence Completion in Language Models](https://md.research.elamur.ai/free/en/papers/nozza-2021-honest-measuring-hurtful-sentence-completion/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Debora Nozza, Federico Bianchi, Dirk Hovy*2021 · 191 citations*

- [We Need to Consider Disagreement in Evaluation Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future](https://md.research.elamur.ai/free/en/papers/basile-2021-we-need-consider-disagreement-evaluation/) — Valerio Basile, Michael Fell, Tommaso Fornaciari, et al. · 2021 · 186 citations

**[Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning](https://md.research.elamur.ai/free/en/papers/fornaciari-2021-beyond-black-white-leveraging-annotator/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tommaso Fornaciari, Alexandra Uma, Silviu Paun, et al.*2021 · 142 citations*