--- title: "Marco Marelli — author profile and papers" description: "Marco Marelli, University of Milano-Bicocca: 2 papers on Elamur Research (2014), h-index 34 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/marco-marelli/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/marco-marelli/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Marco Marelli # Marco Marelli Marco Marelli works on how to evaluate compositional distributional semantic models. These are systems that build a vector for the meaning of a whole sentence by combining the vectors of its individual words. The papers here ask how such models can be tested so that the results reflect composition itself rather than unrelated abilities. The answer they give is purpose-built English sentence data, judged by crowdworkers for semantic relatedness and for entailment. The work therefore sits under [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) and [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/). The most cited of these papers is [A SICK cure for the evaluation of compositional distributional semantic models](https://md.research.elamur.ai/free/en/papers/marelli-2014-sick-cure-evaluation-compositional-distributional/), which introduced the SICK benchmark. It responds to a gap in earlier test sets. Some were small and syntactically uniform, while others, such as STS and RTE, required handling named entities, dates and encyclopedic facts that have little to do with combining word meanings. SICK started from image and video captions, simplified them, and rewrote them into paraphrases, contradictions and scrambled variants. The companion paper, [SemEval-2014 Task 1](https://md.research.elamur.ai/free/en/papers/marelli-2014-semeval-2014-task-1-evaluation/), used the same resource as the basis of a shared task. In it, participating systems were scored on relatedness and on entailment between full sentences. Both papers here date from 2014, so the newest work on the site continues this benchmarking effort rather than marking a change of direction. Marelli is currently at the [University of Milano-Bicocca](https://md.research.elamur.ai/free/en/universities/university-of-milano-bicocca/). Earlier bylines include the [University of Trento](https://md.research.elamur.ai/free/en/universities/university-of-trento/) and [Ghent University](https://md.research.elamur.ai/free/en/universities/ghent-university/). Co-authors on this work include [Marco Baroni](https://md.research.elamur.ai/free/en/authors/marco-baroni/), [Luisa Bentivogli](https://md.research.elamur.ai/free/en/authors/luisa-bentivogli/), [Raffaella Bernardi](https://md.research.elamur.ai/free/en/authors/raffaella-bernardi/), Roberto Zamparelli and Stefano Menini. Marco Marelli has 2 papers in our library, in 2014, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Luisa Bentivogli](https://md.research.elamur.ai/free/en/authors/luisa-bentivogli/), [Marco Baroni](https://md.research.elamur.ai/free/en/authors/marco-baroni/), [Raffaella Bernardi](https://md.research.elamur.ai/free/en/authors/raffaella-bernardi/). 2 papers in our library · 2014 [OpenAlex](https://openalex.org/A5073018684) · [ORCID](https://orcid.org/0000-0001-5831-5441) · [Wikidata](https://www.wikidata.org/wiki/Q57659919) · [**h-index 34**](https://openalex.org/authors/A5073018684) · [345 works](https://openalex.org/works?filter=author.id:A5073018684) · [5,820 citations](https://openalex.org/works?filter=author.id:A5073018684&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/marco-marelli/#papers) · [🔗 1,765 citations in our library](https://md.research.elamur.ai/free/en/authors/marco-marelli/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #1431](https://md.research.elamur.ai/free/en/paper-stars/page/15/#star-1431) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Marco+Marelli) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Marco+Marelli) · [dblp](https://dblp.org/search?q=Marco+Marelli) · [ACL Anthology](https://aclanthology.org/search/?q=Marco+Marelli) ## Affiliations [🎓**University of Milano-Bicocca** Milan · Italy 2007–2026 · 141 papersEducation 2007–2012Employment since 2016*current*](https://md.research.elamur.ai/free/en/universities/university-of-milano-bicocca/) · [🎓**University of Trento** Trento · Italy 2012–2016 · 19 papersEmployment 2012–2016](https://md.research.elamur.ai/free/en/universities/university-of-trento/) · [🏢**Prysmian Group** Milan · Italy 2010–2021 · 10 papers](https://ror.org/01kh3en48) · [🎓**Ghent University** Ghent · Belgium 2016–2017 · 5 papersEmployment since 2016](https://md.research.elamur.ai/free/en/universities/ghent-university/) · [🏢**Google DeepMind** London · United Kingdom 2023 · 3 papers](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Harvard University** Cambridge · United States 2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**University College London** London · United Kingdom 2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🎓**University of Zurich** Zurich · Switzerland 2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-zurich/) · [🎓**Politecnico di Milano** Milan · Italy 2008–2011 · 2 papers](https://ror.org/01nffqt88) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Topics [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2010s [**2014** 2 papers](https://md.research.elamur.ai/free/en/authors/marco-marelli/year/2014/) ## Papers The most cited first (OpenAlex and our library). 1. **[A SICK cure for the evaluation of compositional distributional semantic models](https://md.research.elamur.ai/free/en/papers/marelli-2014-sick-cure-evaluation-compositional-distributional/)** *(2014 · 1,085 citations)* Compositional distributional semantic models (CDSMs) build a sentence meaning vector from the vectors of individual words. 2. **[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/)** *(2014 · 520 citations)* This SemEval-2014 shared task targeted a gap in benchmarking compositional distributional semantic models (CDSMs). ## Also in our library 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Luisa Bentivogli](https://md.research.elamur.ai/free/en/authors/luisa-bentivogli/) ×2 - [Marco Baroni](https://md.research.elamur.ai/free/en/authors/marco-baroni/) ×2 - [Raffaella Bernardi](https://md.research.elamur.ai/free/en/authors/raffaella-bernardi/) ×2 - [Roberto Zamparelli](https://md.research.elamur.ai/free/en/authors/roberto-zamparelli/) ×2 - [Stefano Menini](https://md.research.elamur.ai/free/en/authors/stefano-menini/) ×2 ## Cited by Papers of our library cite their works 1,765 times (of the 140,884 papers whose bibliographies we read); [193 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/marco-marelli/cited-by/).