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Montse Maritxalar

Montse Maritxalar has 2 papers in our library, in 2015, most of them on English, Interpretability; often with Aitor Gonzalez-Agirre, Eneko Agirre, German Rigau.

2 papers in our library · 2015

OpenAlex · ORCID · Wikidata · h-index 10 · 59 works · 965 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 300 times in our library · ⭐ Paper Stars ranking: #2922

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of the Basque CountryLeioa · Spain1992–2024 · 34 papersEducationEmploymentcurrent
🏛️Faculty of Informatics of San SebastianSan Sebastián · SpainEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.English · 2 worksInterpretability · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Semantic similarity · 1 work

 Works by year

2010s

20152 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability (2015 · 765 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)…
  2. UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS (2015 · 10 citations)
    The paper reports UBC's two entries in SemEval 2015 Task 2. For English STS (scoring sentence pairs from 0 to 5), the authors build a "cube": an N×M matrix over the parse-tree nodes of both sentences, covering words and phrases, with one layer per similarity source. The layers are Collobert and Weston vectors…

 Co-authors here

11 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 300 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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