Sander Wubben

1.0k total citations
34 papers, 564 citations indexed

About

Sander Wubben is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sander Wubben has authored 34 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Sander Wubben's work include Natural Language Processing Techniques (27 papers), Topic Modeling (25 papers) and Speech and dialogue systems (7 papers). Sander Wubben is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (25 papers) and Speech and dialogue systems (7 papers). Sander Wubben collaborates with scholars based in Netherlands, Iran and Ireland. Sander Wubben's co-authors include Emiel Krahmer, Antal van den Bosch, Chris van der Lee, Emiel van Miltenburg, Albert Gatt, Thiago Castro Ferreira, Marjolijn L. Antheunis, Eric Postma, Guda van Noort and Suzan Verberne and has published in prestigious journals such as Journal of Interactive Marketing, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Sander Wubben

31 papers receiving 517 citations

Peers

Sander Wubben

CVPR

SPS

MARKE

Chuanming Yu China

Besnik Fetahu Germany

Faisal Ladhak United States

Μαρία Γιάτσογλου Greece

Georgios Spithourakis United Kingdom

Despoina Antonakaki Greece

James Blustein Canada

Tun Thura Thet Singapore

Miguel Ángel García Cumbreras Spain

Wenhao Zhang China

Chuanming Yu China

Sander Wubben

168 ×0.4

18 ×0.3

CVPR

124 ×2.4

SPS

65 ×1.5

11 ×0.4

MARKE

Citations per year, relative to Sander Wubben Sander Wubben (= 1×) peers Chuanming Yu

Countries citing papers authored by Sander Wubben

Since Specialization

Citations

This map shows the geographic impact of Sander Wubben'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 Sander Wubben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sander Wubben more than expected).

Fields of papers citing papers by Sander Wubben

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sander Wubben. 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 Sander Wubben. The network helps show where Sander Wubben may publish in the future.

Co-authorship network of co-authors of Sander Wubben

This figure shows the co-authorship network connecting the top 25 collaborators of Sander Wubben. A scholar is included among the top collaborators of Sander Wubben 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 Sander Wubben. Sander Wubben is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Chris van der, Chris Emmery, Sander Wubben, & Emiel Krahmer. (2020). The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation. 68–79. 5 indexed citations

Lee, Chris van der, Albert Gatt, Emiel van Miltenburg, Sander Wubben, & Emiel Krahmer. (2019). Best practices for the human evaluation of automatically generated text. 355–368. 105 indexed citations

Kunneman, Florian, Sander Wubben, Antal van den Bosch, & Emiel Krahmer. (2018). Aspect-based summarization of pros and cons in unstructured product reviews. Data Archiving and Networked Services (DANS). 2219–2229. 3 indexed citations

Lee, Chris van der, Emiel Krahmer, & Sander Wubben. (2017). PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences. Data Archiving and Networked Services (DANS). 95–104. 26 indexed citations

Ferreira, Thiago Castro, Emiel Krahmer, & Sander Wubben. (2017). Generating flexible proper name references in text: Data, models and evaluation. Research portal (Tilburg University). 655–664. 4 indexed citations

Ferreira, Thiago Castro, Iacer Calixto, Sander Wubben, & Emiel Krahmer. (2017). Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation. Data Archiving and Networked Services (DANS). 1–10. 17 indexed citations

Verberne, Suzan, Antal van den Bosch, Sander Wubben, & Emiel Krahmer. (2017). Automatic Summarization of Domain-specific Forum Threads. Research portal (Tilburg University). 253–256. 3 indexed citations

Wubben, Sander, et al.. (2016). SatiricLR: a Language Resource of Satirical News Articles. Language Resources and Evaluation. 4137–4140. 5 indexed citations

Ferreira, Thiago Castro, Sander Wubben, & Emiel Krahmer. (2016). Towards proper name generation: a corpus analysis. 222–226. 2 indexed citations

10.

Wubben, Sander, et al.. (2015). Predicting Ratings for New Movie Releases from Twitter Content. 7 indexed citations

11.

Wubben, Sander, Antal van den Bosch, & Emiel Krahmer. (2014). Creating and using large monolingual parallel corpora for sentential paraphrase generation. Language Resources and Evaluation. 4292–4299.

12.

Wubben, Sander, et al.. (2014). Beautiful lips and porcelain cheeks : Extracting physical descriptions from recent Dutch fiction. Data Archiving and Networked Services (DANS). 1 indexed citations

13.

Wubben, Sander, Antal van den Bosch, & Emiel Krahmer. (2012). Sentence Simplification by Monolingual Machine Translation. Research portal (Tilburg University). 1015–1024. 162 indexed citations

14.

Theune, Mariët, Ruud Koolen, Emiel Krahmer, & Sander Wubben. (2011). Does Size Matter -- How Much Data is Required to Train a REG Algorithm?. Research portal (Tilburg University). 660–664. 5 indexed citations

15.

Wubben, Sander, Antal van den Bosch, & Emiel Krahmer. (2011). Paraphrasing Headlines by Machine Translation Sentential Paraphrase Acquisition and Generation using Google News. Utrecht University Repository (Utrecht University). 16. 169–183. 4 indexed citations

16.

Wubben, Sander, Erwin Marsi, Antal van den Bosch, & Emiel Krahmer. (2011). Comparing Phrase-based and Syntax-based Paraphrase Generation. Data Archiving and Networked Services (DANS). 27–33.

17.

Wubben, Sander. (2010). UvT: Memory-Based Pairwise Ranking of Paraphrasing Verbs. Meeting of the Association for Computational Linguistics. 260–263. 5 indexed citations

18.

Wubben, Sander, Antal van den Bosch, & Emiel Krahmer. (2010). Paraphrase generation as monolingual translation: data and evaluation. Research portal (Tilburg University). 203–207. 39 indexed citations

19.

Bunt, Harry, Volha Petukhova, & Sander Wubben. (2009). Proceedings of the Eighth International Conference on Computational Semantics. 3 indexed citations

20.

Erp, Marieke van, Antal van den Bosch, Sander Wubben, & Steve Hunt. (2009). Instance-driven discovery of ontological relation labels. 60–68.

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.

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