--- title: "Who cites Multi-Document Summarization — 68 citing papers" description: "68 papers of the Elamur Research library cite «Multi-Document Summarization By Sentence Extraction», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/goldstein-2000-multi-document-summarization-sentence-extraction/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/goldstein-2000-multi-document-summarization-sentence-extraction/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Multi-Document Summarization By Sentence…](https://md.research.elamur.ai/free/en/papers/goldstein-2000-multi-document-summarization-sentence-extraction/) / cited by # Who cites «Multi-Document Summarization By Sentence Extraction» 68 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Multi-Document Summarization By Sentence Extraction»](https://md.research.elamur.ai/free/en/papers/goldstein-2000-multi-document-summarization-sentence-extraction/) 1. [**A Scalable Global Model for Summarization Proceedings of the Workshop on Integer Linear Programming for Natural Language Processing**Dan Gillick, Benoit Favre*2009 · 376 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2009-scalable-global-model-summarization/) 2. **[BillSum: A Corpus for Automatic Summarization of US Legislation](https://md.research.elamur.ai/free/en/papers/kornilova-2019-billsum-corpus-automatic-summarization-us/) [Workshop on New Frontiers in Summarization](https://md.research.elamur.ai/free/en/venues/workshop-on-new-frontiers-in-summarization/)**Anastassia Kornilova, Vladimir Eidelman*2019 · 175 citations* 66 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/goldstein-2000-multi-document-summarization-sentence-extraction/) — Multi-Document Summarization By Sentence Extraction