---
title: "Who cites Overcoming the Lack of Parallel — 76 citing papers"
description: "76 papers of the Elamur Research library cite «Overcoming the Lack of Parallel Data in Sentence Compression», found in their bibliographies…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Overcoming the Lack of Parallel Data in Sentence…](https://md.research.elamur.ai/free/en/papers/filippova-2013-overcoming-lack-parallel-data-sentence/) / cited by

# Who cites «Overcoming the Lack of Parallel Data in Sentence Compression»

76 papers of our library cite it (of the 141,840 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «Overcoming the Lack of Parallel Data in Sentence Compression»](https://md.research.elamur.ai/free/en/papers/filippova-2013-overcoming-lack-parallel-data-sentence/)

1. **[Abstractive Sentence Summarization with Attentive Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/chopra-2016-abstractive-sentence-summarization-attentive-recurrent/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sumit Chopra, Michael Auli, Alexander M. Rush*2016 · 1,091 citations*
2. **[Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 785 citations*
3. **[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*
4. **[Sentence Compression by Deletion with LSTMs](https://md.research.elamur.ai/free/en/papers/filippova-2015-sentence-compression-deletion-lstms/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, et al.*2015 · 338 citations*
5. **[Controlling Output Length in Neural Encoder-Decoders](https://md.research.elamur.ai/free/en/papers/kikuchi-2016-controlling-output-length-neural-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.*2016 · 323 citations*
6. **[Identifying beneficial task relations for multi-task learning in deep neural networks](https://md.research.elamur.ai/free/en/papers/bingel-2017-identifying-beneficial-task-relations-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Joachim Bingel, Anders Søgaard*2017 · 306 citations*
7. [**Generative Representational Instruction Tuning arXiv:2402.09906**Niklas Muennighoff, Hongjin Su, Liang Wang, et al.*2024 · 165 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/)
8. **[LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression](https://md.research.elamur.ai/free/en/papers/pan-2024-llmlingua-2-data-distillation-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.*2024 · 159 citations*
9. **[Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 131 citations*
10. [**Nomic Embed: Training a Reproducible Long Context Text Embedder arXiv:2402.01613**Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/nussbaum-2024-nomic-embed-training-reproducible-long/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/filippova-2013-overcoming-lack-parallel-data-sentence/) — Overcoming the Lack of Parallel Data in Sentence Compression