--- title: "Who cites BUAP: Evaluating Compositional — 2 citing papers" description: "2 papers of the Elamur Research library cite «BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through…" canonical: "https://research.elamur.ai/free/en/papers/leon-2014-buap-evaluating-compositional-distributional-semantic/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/leon-2014-buap-evaluating-compositional-distributional-semantic/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [BUAP: Evaluating Compositional Distributional…](https://md.research.elamur.ai/free/en/papers/leon-2014-buap-evaluating-compositional-distributional-semantic/) / cited by # Who cites «BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment» 2 papers of our library cite it (of the 141,840 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment»](https://md.research.elamur.ai/free/en/papers/leon-2014-buap-evaluating-compositional-distributional-semantic/) 1. **[SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment](https://md.research.elamur.ai/free/en/papers/marelli-2014-semeval-2014-task-1-evaluation/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Marco Marelli, Luisa Bentivogli, Marco Baroni, et al.*2014 · 526 citations* 1 more paper of our library cites it; it has no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/leon-2014-buap-evaluating-compositional-distributional-semantic/) — BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment