---
title: "Adam Jatowt — author profile and papers"
description: "Adam Jatowt, Universität Innsbruck: 2 papers on Elamur Research (2024–2026), h-index 31 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/adam-jatowt/"
---
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# Adam Jatowt

2 papers on this site · 2024–2026

current affiliation [Universität Innsbruck](https://ror.org/054pv6659), Innsbruck, Austria; [Delft University of Technology](https://ror.org/02e2c7k09), Delft, Netherlands

Adam Jatowt has 2 papers on this site, in 2024–2026, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Antoine Doucet](https://md.research.elamur.ai/free/en/authors/antoine-doucet/).

[OpenAlex](https://openalex.org/A5079733597) · [ORCID](https://orcid.org/0000-0001-7235-0665) · [**h-index 31**](https://openalex.org/authors/A5079733597) · [577 works](https://openalex.org/works?filter=author.id:A5079733597) · [5 513 citations](https://openalex.org/works?filter=author.id:A5079733597&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/adam-jatowt/#papers) · [98 citations in our library](https://md.research.elamur.ai/free/en/authors/adam-jatowt/cited-by/) · 11 more works in our library

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Adam+Jatowt) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Adam+Jatowt) · [dblp](https://dblp.org/search?q=Adam+Jatowt) · [ACL Anthology](https://aclanthology.org/search/?q=Adam+Jatowt)

## Affiliations

- [Universität Innsbruck](https://ror.org/054pv6659) · Innsbruck, Austria —current · 2021–2026 on 237 papers
- [Delft University of Technology](https://ror.org/02e2c7k09) · Delft, Netherlands —current · 2026 on 1 paper
- [Kyoto University](https://ror.org/02kpeqv85) · Kyoto, Japan —2006–2023 on 221 papers
- [National Institute of Advanced Industrial Science and Technology](https://ror.org/01703db54) · Tsukuba, Japan —2019–2021 on 3 papers
- [Japan Science and Technology Agency](https://ror.org/00097mb19) · Tokyo, Japan —2012–2015 on 7 papers
- [National Institute of Information and Communications Technology](https://ror.org/016bgq349) · Tokyo, Japan —2005–2008 on 6 papers
- [The University of Tokyo](https://ror.org/057zh3y96) · Tokyo, Japan —2003–2004 on 9 papers

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.

## Topics

[Named entity recognition 1](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Question answering 1](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Semitic languages 1](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Information retrieval & search 1](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ArabicaQA: A Comprehensive Dataset for Arabic Question Answering](https://md.research.elamur.ai/free/en/papers/abdallah-2024-arabicaqa-comprehensive-dataset-arabic-question/)** *(2024 · 47 citations)* Arabic has few large, high-quality resources for machine reading comprehension (MRC) and open-domain QA. Many existing ones are small, rule-based or machine-translated from English, such as Arabic-SQuAD. ArabicaQA fills this gap with a crowd-sourced dataset built on Arabic Wikipedia passages:
2. **[Reference-free Evaluation at Inference for NER/NEL over OCRed Historical Texts](https://md.research.elamur.ai/free/en/papers/nguyen-2026-reference-free-evaluation-inference-ner/)** *(2026)* Extracting entities from digitized historical texts is hampered by OCR noise. When systems run on new collections, the gold annotations needed to measure NER and NEL quality are usually absent. OCR metrics such as CER and WER also say little about how much entities themselves are damaged. The authors therefore frame…

## Also in our library

11 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Antoine Doucet](https://md.research.elamur.ai/free/en/authors/antoine-doucet/)

## Cited by

Papers of our library cite their works 98 times (of the 140 884 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/adam-jatowt/cited-by/).
