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Ehsan Lotfi

Ehsan Lotfi has 5 papers in our library, in 2020–2026, most of them on Evaluation & benchmarks, Legal AI, Information retrieval & search; often with Walter Daelemans, Nikolay Banar, Jens Van Nooten.

5 papers in our library · 2020–2026

OpenAlex · ORCID · Wikidata · h-index 14 · 61 works · 707 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 22 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7369

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Sarcasm Detection Using an Ensemble Approach (2020 · 56 citations)
    This paper addresses sarcasm classification of social-media replies. The task was a shared task at the Second Workshop on Figurative Language Processing (ACL 2020), where each reply comes with the earlier turns of its conversation. The organizers supplied balanced, automatically labelled data: 5,000 tweets and 4,400…
  2. Bilingual BSARD: Extending Statutory Article Retrieval to Dutch (2025 · 5 citations)
    The paper addresses the lack of a Dutch benchmark for statutory article retrieval in multilingual jurisdictions such as Belgium.
  3. MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch (2026 · 4 citations)
    Dutch has only a small share of the data inside multilingual embedding resources, and it had no broad benchmark or strong dedicated embedding models.
  4. BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language (2025 · 3 citations)
    BEIR is the standard benchmark for zero-shot retrieval, but it contains only English, which leaves languages like Dutch with no comparable test suite.
  5. bLLeQA: Benchmarking LLMs for Grounded Legal Question-Answering in French and Dutch (2026)
    Legal question-answering tools could make the law easier to reach for ordinary people. However, evaluation data for retrieval-augmented generation (RAG) in civil-law settings and smaller languages such as Dutch is rare. The authors extend the French LLeQA dataset into bLLeQA, a parallel French–Dutch benchmark built…

All works

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

  1. Sarcasm Detection Using an Ensemble ApproachWorkshop on Figurative Language ProcessingJens Lemmens, Ben Burtenshaw, Ehsan Lotfi, et al.2020 · 56 citations
  2. Bilingual BSARD: Extending Statutory Article Retrieval to DutchProceedings of the 1st Regulatory NLP Workshop (RegNLP 2025)Ehsan Lotfi, Nikolay Banar, Nerses Yuzbashyan, et al.2025 · 5 citations
  3. Domain- and Task-Adaptation for VaccinChatNL, a Dutch COVID-19 FAQ Answering Corpus and Classification Model ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetJeska Buhmann et al.2022 · 3 citations

 Co-authors here

5 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 22 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

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