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Andrei Butnaru

Andrei Butnaru has 3 papers in our library, in 2017–2018, most of them on Semitic languages, Sentiment & emotion; often with Radu Tudor Ionescu.

3 papers in our library · 2017–2018

OpenAlex · ORCID · h-index 12 · 18 works · 456 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 89 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6490

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 BucharestBucharest · Romania2016–2020 · 13 papersEducation 2016–2020 · PhD in Computational Linguistics

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 2 works

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 3 worksSentiment & emotion · 1 work

 Works by year

2010s

20182 papers20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Learning to Identify Arabic and German Dialects using Multiple Kernels (2017 · 64 citations)
    The paper describes the UnibucKernel entry to two closed dialect-identification shared tasks at the DSL 2017 Challenge (VarDial).
  2. UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row (2018 · 39 citations)
    The paper describes UnibucKernel, the system that won the closed Arabic Dialect Identification (ADI) task at VarDial 2018.
  3. Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set (2018 · 22 citations)
    The paper asks whether string kernels, which already lead several text classification benchmarks, can gain further accuracy by using the unlabeled test set during training.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Automated essay scoring with string kernels and word embeddings ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetMădălina Cozma, Andrei Butnaru, Radu Tudor Ionescu2018 · 161 citations
  2. Learning to Identify Arabic and German Dialects using Multiple KernelsWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Radu Tudor Ionescu, Andrei Butnaru2017 · 64 citations
  3. UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a RowWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Andrei Butnaru, Radu Tudor Ionescu2018 · 39 citations
  4. Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test setConference on Empirical Methods in Natural Language Processing (EMNLP)Radu Tudor Ionescu, Andrei M. Butnaru2018 · 22 citations
  5. BAM: A combination of deep and shallow models for German Dialect Identification. ↗Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects · no summary yetButnaru, Andrei M.2019 · 4 citations

 Co-authors here

1 co-author 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 89 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/andrei-butnaru/