---
title: "Ido Dagan — papers of 2019 — 5 papers, the most cited first"
description: "Ido Dagan — 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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# Ido Dagan — papers of 2019 — 5 papers, the most cited first

5 papers · [all years of Ido Dagan](https://md.research.elamur.ai/free/en/authors/ido-dagan/#years)

**[Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/falke-2019-ranking-generated-summaries-correctness-interesting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.*2019 · 445 citations*

**[Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation](https://md.research.elamur.ai/free/en/papers/moryossef-2019-step-step-separating-planning-realization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Amit Moryossef, Yoav Goldberg, Ido Dagan*2019 · 230 citations*

**[Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/barhom-2019-revisiting-joint-modeling-cross-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shany Barhom, Vered Shwartz, Alon Eirew, et al.*2019 · 164 citations*

**[Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition](https://md.research.elamur.ai/free/en/papers/shwartz-2019-still-pain-neck-evaluating-text/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vered Shwartz, Ido Dagan*2019 · 130 citations*

**[Better Rewards Yield Better Summaries: Learning to Summarise Without References](https://md.research.elamur.ai/free/en/papers/bohm-2019-better-rewards-yield-better-summaries/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Florian Böhm, Yang Gao, Christian M. Meyer, et al.*2019 · 127 citations*