Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
2015294 citationsEneko Agirre, Carmen Banea et al.Communities in ADDI (University of the Basque Country)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Larraitz Uria's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Larraitz Uria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larraitz Uria more than expected).
This network shows the impact of papers produced by Larraitz Uria. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Larraitz Uria. The network helps show where Larraitz Uria may publish in the future.
Co-authorship network of co-authors of Larraitz Uria
This figure shows the co-authorship network connecting the top 25 collaborators of Larraitz Uria.
A scholar is included among the top collaborators of Larraitz Uria based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Larraitz Uria. Larraitz Uria is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ilarraza, Arantza Díaz de, et al.. (2017). ANALHITZA: A tool to extract linguistic information from large corpora in Humanities research. Procesamiento del lenguaje natural. 58(58). 77–84.7 indexed citations
3.
Alegria, Iñaki, et al.. (2016). Evaluating the noisy channel model for the normalization of historical texts: Basque, Spanish and Slovene. Language Resources and Evaluation. 1064–1069.7 indexed citations
Agirre, Eneko, Carmen Banea, Claire Cardie, et al.. (2015). SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability. Communities in ADDI (University of the Basque Country). 252–263.294 indexed citations breakdown →
Alegria, Iñaki, et al.. (2014). Learning to map variation-standard forms using a limited parallel corpus and the standard morphology. Procesamiento del lenguaje natural. 52(52). 13–20.3 indexed citations
Uria, Larraitz, et al.. (2013). Reusing the CG-2 Grammar for Processing Basque Complex Postpositions. Dialnet (Universidad de la Rioja). 20–27.2 indexed citations
Uria, Larraitz & Ricardo Etxepare. (2011). BASYQUE: Aplicación para el estudio de la variación sintáctica. SHILAP Revista de lepidopterología.
14.
Uria, Larraitz, et al.. (2009). Determiner errors in Basque: analysis and automatic detection. Procesamiento del lenguaje natural. 41–48.5 indexed citations
15.
Alegria, Iñaki, et al.. (2008). Chunk and clause identification for basque by filtering and ranking with perceptrons. Procesamiento del lenguaje natural. 41(41). 5–12.4 indexed citations
16.
Aldabe, Itziar, et al.. (2005). Propuesta de una clasificación general y dinámica para la definición de errores. Revista de Psicodidáctica. 10(2). 47–59.6 indexed citations
17.
Aldabe, Itziar, et al.. (2005). Propuesta de una clasificación general y dinámica para la definición de errores Proposal for a general and dynamic classification to define mistakes.1 indexed citations
18.
Agirre, Eneko, et al.. (2004). The Basque lexical-sample task. Meeting of the Association for Computational Linguistics. 1–4.3 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.