---
title: "Dan Roth — papers of 2019 — 5 papers, the most cited first"
description: "Dan Roth — papers of 2019: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Dan Roth — papers of 2019 — 5 papers, the most cited first

5 papers · [all years of Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/#years)

**[Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach](https://md.research.elamur.ai/free/en/papers/yin-2019-benchmarking-zero-shot-text-classification/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenpeng Yin, Jamaal Hay, Dan Roth*2019 · 735 citations*

**[Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims](https://md.research.elamur.ai/free/en/papers/chen-2019-seeing-things-different-angle-discovering/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sihao Chen, Daniel Khashabi, Wenpeng Yin, et al.*2019 · 172 citations*

**[Grammar Error Correction in Morphologically Rich Languages: The Case of Russian](https://md.research.elamur.ai/free/en/papers/rozovskaya-2019-grammar-error-correction-morphologically-rich/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Alla Rozovskaya, Dan Roth*2019 · 126 citations*

**[Improving Generalization in Coreference Resolution via Adversarial Training](https://md.research.elamur.ai/free/en/papers/subramanian-2019-improving-generalization-coreference-resolution-adversarial/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Sanjay Subramanian, Dan Roth*2019 · 23 citations*

**[Evaluation of named entity coreference](https://md.research.elamur.ai/free/en/papers/agarwal-2019-evaluation-named-entity-coreference/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, et al.*2019 · 14 citations*