--- title: "Who cites Compositional Vector Space Models for Knowledge…" description: "51 papers of the Elamur Research library cite «Compositional Vector Space Models for Knowledge Base Completion», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Compositional Vector Space Models for Knowledge…](https://md.research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/) / cited by # Who cites «Compositional Vector Space Models for Knowledge Base Completion» 51 papers of our library cite it (of the 140,884 whose bibliographies we read) · 3 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/) 1. [**Representing Text for Joint Embedding of Text and Knowledge Bases**Kristina Toutanova, Danqi Chen, Patrick Pantel, et al.*2015 · 904 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2015-representing-text-joint-embedding-text/) 2. [**Constructing Datasets for Multi-hop Reading Comprehension Across Documents**Johannes Welbl, Pontus Stenetorp, Sebastian Riedel*2018 · 283 citations*](https://md.research.elamur.ai/free/en/papers/welbl-2018-constructing-datasets-multi-hop-reading/) 3. [**Commonsense Knowledge Base Completion**Xiang Li, Aynaz Taheri, Lifu Tu, et al.*2016 · 232 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-commonsense-knowledge-base-completion/) 48 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/neelakantan-2015-compositional-vector-space-models-knowledge/) — Compositional Vector Space Models for Knowledge Base Completion