---
title: "Who cites Better Summarization Evaluation — 71 citing papers"
description: "71 papers of the Elamur Research library cite «Better Summarization Evaluation with Word Embeddings for ROUGE», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/ng-2015-better-summarization-evaluation-word-embeddings/cited-by/"
---
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# Who cites «Better Summarization Evaluation with Word Embeddings for ROUGE»

71 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Better Summarization Evaluation with Word Embeddings for ROUGE»](https://md.research.elamur.ai/free/en/papers/ng-2015-better-summarization-evaluation-word-embeddings/)

1. **[MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance](https://md.research.elamur.ai/free/en/papers/zhao-2019-moverscore-text-generation-evaluating-contextualized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Zhao, Maxime Peyrard, Fei Liu, et al.*2019 · 829 citations*
2. **[Neural Text Summarization: A Critical Evaluation](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.*2019 · 558 citations*
3. **[On Extractive and Abstractive Neural Document Summarization with Transformer Language Models](https://md.research.elamur.ai/free/en/papers/pilault-2020-extractive-abstractive-neural-document-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.*2020 · 260 citations*
4. **[Re-evaluating Evaluation in Text Summarization](https://md.research.elamur.ai/free/en/papers/bhandari-2020-re-evaluating-evaluation-text-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.*2020 · 258 citations*
5. **[Answers Unite! Unsupervised Metrics for Reinforced Summarization Models](https://md.research.elamur.ai/free/en/papers/scialom-2019-answers-unite-unsupervised-metrics-reinforced/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.*2019 · 211 citations*
6. **[Fill in the BLANC: Human-free quality estimation of document summaries](https://md.research.elamur.ai/free/en/papers/vasilyev-2020-fill-blanc-human-free-quality/) [Workshop on Evaluation and Comparison of NLP Systems](https://md.research.elamur.ai/free/en/venues/eval4nlp/)**Oleg Vasilyev, Vedant Dharnidharka, John Bohannon*2020 · 154 citations*
7. **[DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence](https://md.research.elamur.ai/free/en/papers/zhao-2023-discoscore-evaluating-text-generation-bert/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Wei Zhao, Michael Strube, Steffen Eger*2023 · 53 citations*

64 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/ng-2015-better-summarization-evaluation-word-embeddings/) — Better Summarization Evaluation with Word Embeddings for ROUGE