From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Information Systems · 2 works Language and Linguistics · 2 works

🧭 Topics 4Information retrieval & search · 2 works Semitic languages · 2 works Low-resource languages · 1 work Language models & pretraining · 1 work

Works by year

2020s

20261 paperAmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning 20251 paperDense Retrieval for Low Resource Languages — the Case of Amharic Language

Papers

The most cited first (OpenAlex and our library).

Dense Retrieval for Low Resource Languages — the Case of Amharic Language (2025 · 1 citation)
The paper asks whether modern neural retrievers can work for Amharic, a Semitic language with about 120 million speakers.
AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning (2026)
Amharic is a morphologically rich Semitic language with more than 80 million speakers. It has few curated benchmarks for neural retrieval and almost no quality-checked instruction data. Existing Amharic retrieval resources are small or weakly supervised. For example, one earlier benchmark pairs news headlines with…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

ToMMeR - Efficient Entity Mention Detection from Large Language ModelsProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetVictor Morand et al.2026 · 2 citations
Dense Retrieval for Low Resource Languages — the Case of Amharic LanguagearXiv:2503.18570Tilahun Yeshambel, Moncef Garouani, Serge Molina, et al.2025 · 1 citation
AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction TuningarXiv:2602.09914Tilahun Yeshambel, Moncef Garouani, Josiane Mothe2026
Classification multi-label à grande dimension pour la détection de concepts médicaux (Large multi-label classification for medical concepts detection)Actes de la Conférence TALN. Volume 2 - Démonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT · original ↗ · no summary yetJosiane Mothe, Nomena Ny Hoavy, Mamitiana-Ignace Randrianarivony2018
Information Retrieval and Natural Language Processing (Recherche d'Information et Traitement Automatique des Langues Naturelles) [in French]Proceedings of TALN 2013 (Volume 4: Invited Conferences) · original ↗ · no summary yetMothe, Josiane2013

Co-authors here

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

Moncef Garouani ×2
Tilahun Yeshambel ×2

Venues

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

Actes de la Conférence TALN. Volume 2 - Démonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT
Proceedings of TALN 2013 (Volume 4: Invited Conferences)
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Cited by

Papers of our library cite their works 3 times (of the 141,840 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 24 October 2026

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🧑‍🔬 Josiane Mothe

🏛️ Affiliations

🧭 Concepts, shelves and topics

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Josiane Mothe

Affiliations

Concepts, shelves and topics

Works by year

Papers

Co-authors here

Cited by