--- title: "Iñigo Lopez-Gazpio — author profile and papers" description: "Iñigo Lopez-Gazpio: 2 papers on Elamur Research (2015–2017) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/inigo-lopez-gazpio/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/inigo-lopez-gazpio/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Iñigo Lopez-Gazpio # Iñigo Lopez-Gazpio Iñigo Lopez-Gazpio works on semantic textual similarity, the problem of scoring how close in meaning two short pieces of text are. Their papers here deal with designing and running shared evaluation tasks. That means assembling sentence pairs, gathering graded judgments from crowd workers, and checking how closely automatic systems track human ratings. The work carries this kind of evaluation beyond English and touches on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) and [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/). The most cited of these papers is [SemEval-2017 Task 1](https://md.research.elamur.ai/free/en/papers/cer-2017-semeval-2017-task-1-semantic/). It moved the similarity task's emphasis away from English toward multilingual and cross-lingual comparisons, with Arabic, Spanish and Turkish as the added languages. The bulk of its sentence pairs were taken from the SNLI corpus and picked using GloVe vector similarity. They were rated through Amazon Mechanical Turk and then translated. The earlier [SemEval-2015 Task 2](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/) prepared fresh English and Spanish test material, drawing on headlines, captions of images, answers from a tutoring system and forum posts, and it added a pilot on interpretability. Candidate pairs there were sampled evenly across ranges of string similarity. After crowd labelling, an automatic step kept the pairs that best balanced score spread, annotator agreement and difficulty for simple string matching. Between 2015 and 2017 the work moves from English and Spanish data toward wider cross-lingual coverage, with the newer task built around translated pairs across several languages. Lopez-Gazpio's co-authors on these task papers include [Eneko Agirre](https://md.research.elamur.ai/free/en/authors/eneko-agirre/), [Daniel Cer](https://md.research.elamur.ai/free/en/authors/daniel-cer/) and [Mona Diab](https://md.research.elamur.ai/free/en/authors/mona-diab/), along with [Rada Mihalcea](https://md.research.elamur.ai/free/en/authors/rada-mihalcea/), Lucia Specia, Carmen Banea and German Rigau. Iñigo Lopez-Gazpio has 2 papers in our library, in 2015–2017, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Daniel Cer](https://md.research.elamur.ai/free/en/authors/daniel-cer/), [Eneko Agirre](https://md.research.elamur.ai/free/en/authors/eneko-agirre/), [Mona Diab](https://md.research.elamur.ai/free/en/authors/mona-diab/). 2 papers in our library · 2015–2017 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/inigo-lopez-gazpio/#papers) · [🔗 1,199 citations in our library](https://md.research.elamur.ai/free/en/authors/inigo-lopez-gazpio/cited-by/) · [⭐ Paper Star rank #1383](https://md.research.elamur.ai/free/en/paper-stars/page/14/#star-1383) 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=I%C3%B1igo+Lopez-Gazpio) · [Semantic Scholar](https://www.semanticscholar.org/search?q=I%C3%B1igo+Lopez-Gazpio) · [dblp](https://dblp.org/search?q=I%C3%B1igo+Lopez-Gazpio) · [ACL Anthology](https://aclanthology.org/search/?q=I%C3%B1igo+Lopez-Gazpio) ## Topics [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) ## Works by year ### 2010s [**2017** 1 paper](https://md.research.elamur.ai/free/en/papers/cer-2017-semeval-2017-task-1-semantic/) · [**2015** 1 paper](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/) ## Papers The most cited first (OpenAlex and our library). 1. **[SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation](https://md.research.elamur.ai/free/en/papers/cer-2017-semeval-2017-task-1-semantic/)** *(2017 · 907 citations)* The paper summarizes the SemEval-2017 shared task on semantic textual similarity (STS). Systems must determine how close in meaning two sentences are on a scale from 0 to 5. Performance is measured by the Pearson correlation between system scores and human judgments. Previously the task focused mainly on English, but… 2. **[SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/)** *(2015 · 758 citations)* This paper reports on the 2015 edition of the SemEval shared task on semantic textual similarity (STS). In STS, a system assigns a graded, symmetric score showing how close in meaning two short texts are. The organizers built new evaluation data in English and Spanish. The English data includes news headlines (HDL)… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Daniel Cer](https://md.research.elamur.ai/free/en/authors/daniel-cer/) ×2 - [Eneko Agirre](https://md.research.elamur.ai/free/en/authors/eneko-agirre/) ×2 - [Mona Diab](https://md.research.elamur.ai/free/en/authors/mona-diab/) ×2 - [Aitor Gonzalez-Agirre](https://md.research.elamur.ai/free/en/authors/aitor-gonzalez-agirre/) - [Carmen Banea](https://md.research.elamur.ai/free/en/authors/carmen-banea/) - [Claire Cardie](https://md.research.elamur.ai/free/en/authors/claire-cardie/) - [German Rigau](https://md.research.elamur.ai/free/en/authors/german-rigau/) - [Lucia Specia](https://md.research.elamur.ai/free/en/authors/lucia-specia/) - [Rada Mihalcea](https://md.research.elamur.ai/free/en/authors/rada-mihalcea/) - [Weiwei Guo](https://md.research.elamur.ai/free/en/authors/weiwei-guo/) ## Cited by Papers of our library cite their works 1,199 times (of the 140,884 papers whose bibliographies we read); [94 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/inigo-lopez-gazpio/cited-by/).