---
title: "Natural Scientific Language Processing (NSLP) @ LREC 2026"
description: "Natural Scientific Language Processing (NSLP) @ LREC 2026 — papers: 12 papers in the Elamur Research library, with our summaries…"
canonical: "https://research.elamur.ai/free/en/venues/nslp/2026/"
---
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# Natural Scientific Language Processing (NSLP) @ LREC 2026 — papers

The works of Natural Scientific Language Processing (NSLP) @ LREC published in 2026 that our library holds (publisher: European Language Resources Association (ELRA)): 12 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**29** works that year](#all) · [**12** works in our library](https://md.research.elamur.ai/free/en/venues/nslp/2026/#works) · [**1** citations of these works](https://md.research.elamur.ai/free/en/venues/nslp/2026/#works)

## All works of the year (29)

The most cited first; 12 with our summary link to their page here, the others to the original.

1. **[AstroConcepts: A Large-Scale Multi-Label Classification Corpus for Astrophysics ↗](https://aclanthology.org/2026.nslp-1.1/)**Atilla Kaan Alkan, Felix Grezes, Sergi Blanco-Cuaresma et al.
2. **[Benchmarking LLMs for ARR Area Assignment: Evidence and Implications for Assignment Strategies ↗](https://aclanthology.org/2026.nslp-1.2/)**Eileen Bingert, Diego Alves, Stefania Degaetano-Ortlieb
3. **[Benchmarking Retrieval-Augmented Generation for Scientific Knowledge QA in European Portuguese](https://md.research.elamur.ai/free/en/papers/matos-2026-benchmarking-retrieval-augmented-generation-scientific/)**José Matos, Catarina Silva, Hugo Gonçalo Oliveira*our summary*
4. **[Beyond Abstracts: A Biomedical MeSH Indexing Corpus Incorporating Summarized Methods Sections ↗](https://aclanthology.org/2026.nslp-1.4/)**Sujoy Datta, Robert E. Mercer, Xindi Wang
5. **[Challenges and Opportunities for NSLP in Scientific Publishing – A Case Study ↗](https://aclanthology.org/2026.nslp-1.5/)**Thomas Kleinbauer, Michael Didas, Michael Wagner
6. **[ClimateCheck 2026: Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims ↗](https://aclanthology.org/2026.nslp-1.6/)**Raia Abu Ahmad, Max Upravitelev, Aida Usmanova et al.
7. **[ClimateSense at ClimateCheck 2026 ↗](https://aclanthology.org/2026.nslp-1.7/)**Thibault Ehrhart, Gregoire Burel, Raphael Troncy
8. **[Comparing LLM-Based Knowledge Graph Extraction Approaches on Literary Studies in Spanish: A Case Study on Orbis Tertius ↗](https://aclanthology.org/2026.nslp-1.8/)**Federico Cortes
9. **[Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle](https://md.research.elamur.ai/free/en/papers/thorne-2026-demystifying-funding-reconstructing-unified-dataset/)**William Thorne, Rupert Shepherd, Diana Maynard*our summary*
10. **[Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions](https://md.research.elamur.ai/free/en/papers/alkan-2026-do-lexical-contextual-coreference-resolution/)**Atilla Kaan Alkan, Felix Grezes, Jennifer Lynn Bartlett et al.*our summary*
11. **[Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models ↗](https://aclanthology.org/2026.nslp-1.11/)**Florian Kelber, Matthias Jobst, Yuni Susanti et al.
12. **[EarlySciRev: A Dataset of Early-Stage Scientific Revisions Extracted from LaTeX Writing Traces ↗](https://aclanthology.org/2026.nslp-1.12/)**Léane Jourdan, Julien Aubert-Béduchaud, Yannis Chupin et al.
13. **[Enhancing Factuality and Transparency in Generative Models for Biomedical Question Answering ↗](https://aclanthology.org/2026.nslp-1.13/)**Ankita Behura, Siting Liang, Daniel Sonntag
14. **[Enhancing Scholarly Knowledge Graphs via Domain-Specific Entity Detection and Linking](https://md.research.elamur.ai/free/en/papers/silva-2026-enhancing-scholarly-knowledge-graphs-domain/)**Nicolau Duran-Silva, César A. Parra-Rojas, Pablo Accuosto et al.*our summary*
15. **[Evaluating Generative Large Language Models for Portuguese Scientific Information Extraction](https://md.research.elamur.ai/free/en/papers/pinto-2026-evaluating-generative-large-language-models/)**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*our summary*
16. **[From Slides to Chatbots: Enhancing Large Language Models with University Course Materials ↗](https://aclanthology.org/2026.nslp-1.16/)**Tu Anh Dinh, Philipp Nicolas Schumacher, Jan Niehues
17. **[Generating Research Data Metadata from Their Accompanying README Files](https://md.research.elamur.ai/free/en/papers/sekido-2026-generating-research-data-metadata-their/)**Kotaro Sekido, Yu Watanabe, Koichiro Ito et al.*our summary*
18. **[Identifying Implicit Research Data References in Paper Citations](https://md.research.elamur.ai/free/en/papers/motegi-2026-identifying-implicit-research-data-references/)**Koshi Motegi, Koichiro Ito, Shigeki Matsubara*our summary*
19. **[Improving Completeness in Deep Research Agents through Targeted Enrichment](https://md.research.elamur.ai/free/en/papers/wonnink-2026-improving-completeness-deep-research-agents/)**Jesse Wonnink, Jakub Zavrel, Paul Groth*our summary*
20. **[MioFFAn: An Annotation Software for Formula Formalization with LLM Automation Capabilities](https://md.research.elamur.ai/free/en/papers/ruiz-2026-mioffan-annotation-software-formula-formalization/)**Nicolas Sibuet Ruiz, Horacio Saggion, Riccardo Rossi*our summary*
21. **[Normalizing Section Names and Structure of Scientific Articles](https://md.research.elamur.ai/free/en/papers/silva-2026-normalizing-section-names-structure-scientific/)**Nicolau Duran-Silva, Julian Moreno-Schneider, César A. Parra-Rojas et al.*our summary*
22. **[Retrieval-Augmented LLMs and Encoder Models for Multi-Label Climate Disinformation Narrative Classification ↗](https://aclanthology.org/2026.nslp-1.22/)**Neda Foroutan, Alexandra Tsiakalou, Vera Schmitt
23. **[The Linguist's Lie Detector: Linguistic Knowledge in Large Language Models ↗](https://aclanthology.org/2026.nslp-1.23/)**Lucía Catalán Gris, Kim Gerdes, John S. Y. Lee
24. **[The Software Mention Detection and Coreference Resolution Shared Task 2026 ↗](https://aclanthology.org/2026.nslp-1.24/)**Sharmila Upadhyaya, Wolfgang Otto, Julia Matela et al.
25. **[Towards Efficient Self-Explainable Climate-Related Claim Verification with Generative Models ↗](https://aclanthology.org/2026.nslp-1.25/)**Siting Liang, Omar Adjali, Daniel Sonntag

[See all 29 papers in Natural Scientific Language Processing (NSLP) @ LREC 2026 — papers →](https://md.research.elamur.ai/free/en/venues/nslp/2026/papers/)

## Works with our summary in our library (12)

The most cited first (OpenAlex citations plus our library's).

1. **[Identifying Implicit Research Data References in Paper Citations](https://md.research.elamur.ai/free/en/papers/motegi-2026-identifying-implicit-research-data-references/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Koshi Motegi, Koichiro Ito, Shigeki Matsubara*2026 · 1 citation*
2. **[Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions](https://md.research.elamur.ai/free/en/papers/alkan-2026-do-lexical-contextual-coreference-resolution/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Atilla Kaan Alkan, Felix Grezes, Jennifer Lynn Bartlett, et al.*2026*
3. **[Benchmarking Retrieval-Augmented Generation for Scientific Knowledge QA in European Portuguese](https://md.research.elamur.ai/free/en/papers/matos-2026-benchmarking-retrieval-augmented-generation-scientific/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**José Matos, Catarina Silva, Hugo Gonçalo Oliveira*2026*
4. **[UniCite: A Dataset and Unified Hierarchical Taxonomy for Multi-Dimensional Citation Analysis](https://md.research.elamur.ai/free/en/papers/mourky-2026-unicite-dataset-unified-hierarchical-taxonomy/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Amina Mourky, Elena Leitner, Julian Moreno-Schneider, et al.*2026*
5. **[Evaluating Generative Large Language Models for Portuguese Scientific Information Extraction](https://md.research.elamur.ai/free/en/papers/pinto-2026-evaluating-generative-large-language-models/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026*
6. **[Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/rauscher-2026-transferring-scientific-english-pre-trained/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nikolas Rauscher, Fabio Barth, Georg Rehm*2026*
7. **[MioFFAn: An Annotation Software for Formula Formalization with LLM Automation Capabilities](https://md.research.elamur.ai/free/en/papers/ruiz-2026-mioffan-annotation-software-formula-formalization/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nicolas Sibuet Ruiz, Horacio Saggion, Riccardo Rossi*2026*
8. **[Generating Research Data Metadata from Their Accompanying README Files](https://md.research.elamur.ai/free/en/papers/sekido-2026-generating-research-data-metadata-their/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Kotaro Sekido, Yu Watanabe, Koichiro Ito, et al.*2026*
9. **[Enhancing Scholarly Knowledge Graphs via Domain-Specific Entity Detection and Linking](https://md.research.elamur.ai/free/en/papers/silva-2026-enhancing-scholarly-knowledge-graphs-domain/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nicolau Duran-Silva, César A. Parra-Rojas, Pablo Accuosto, et al.*2026*
10. **[Normalizing Section Names and Structure of Scientific Articles](https://md.research.elamur.ai/free/en/papers/silva-2026-normalizing-section-names-structure-scientific/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nicolau Duran-Silva, Julian Moreno-Schneider, César A. Parra-Rojas, et al.*2026*
11. **[Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle](https://md.research.elamur.ai/free/en/papers/thorne-2026-demystifying-funding-reconstructing-unified-dataset/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**William Thorne, Rupert Shepherd, Diana Maynard*2026*
12. **[Improving Completeness in Deep Research Agents through Targeted Enrichment](https://md.research.elamur.ai/free/en/papers/wonnink-2026-improving-completeness-deep-research-agents/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Jesse Wonnink, Jakub Zavrel, Paul Groth*2026*

## Top topics

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

[Language models & pretraining (3)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Coreference resolution (1)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Computer Science (12)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (9)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Decision Sciences (4)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Biochemistry, Genetics and Molecular Biology (2)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Georg Rehm**4 works here](https://md.research.elamur.ai/free/en/authors/georg-rehm/) · [🧑‍🔬**Julian Moreno-Schneider**3 works here](https://md.research.elamur.ai/free/en/authors/julian-moreno-schneider/) · [🧑‍🔬**Koichiro Ito**2 works here · 1 citation](https://md.research.elamur.ai/free/en/authors/koichiro-ito/) · [🧑‍🔬**Shigeki Matsubara**2 works here · 1 citation](https://md.research.elamur.ai/free/en/authors/shigeki-matsubara/) · [🧑‍🔬**Catarina Silva**2 works here](https://md.research.elamur.ai/free/en/authors/catarina-silva/) · [🧑‍🔬**César A. Parra-Rojas**2 works here](https://md.research.elamur.ai/free/en/authors/cesar-a-parra-rojas/) · [🧑‍🔬**Hugo Gonçalo Oliveira**2 works here](https://md.research.elamur.ai/free/en/authors/hugo-goncalo-oliveira/) · [🧑‍🔬**Nicolau Duran-Silva**2 works here](https://md.research.elamur.ai/free/en/authors/nicolau-duran-silva/) · [🧑‍🔬**Diana Maynard**1 work here](https://md.research.elamur.ai/free/en/authors/diana-maynard/) · [🧑‍🔬**Elena Leitner**1 work here](https://md.research.elamur.ai/free/en/authors/elena-leitner/) · [🧑‍🔬**Fabio Barth**1 work here](https://md.research.elamur.ai/free/en/authors/fabio-barth/) · [🧑‍🔬**Horacio Saggion**1 work here](https://md.research.elamur.ai/free/en/authors/horacio-saggion/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🔬**German Research Centre for Artificial Intelligence** Kaiserslautern · Germany 4 works here](https://md.research.elamur.ai/free/en/labs/german-research-centre-for-artificial-intelligence/) · [🎓**Universitat Pompeu Fabra** Barcelona · Spain 3 works here](https://md.research.elamur.ai/free/en/universities/universitat-pompeu-fabra/) · [🏢**SIRIS Academic** Barcelona · Spain 2 works here](https://md.research.elamur.ai/free/en/companies/siris-academic/) · [🎓**Nagoya University** Nagoya · Japan 2 works here](https://md.research.elamur.ai/free/en/universities/nagoya-university/) · [🎓**University of Coimbra** Coimbra · Portugal 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-coimbra/) · [🎓**Humboldt-Universität zu Berlin** Berlin · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/humboldt-universitat-zu-berlin/) · [🎓**Technische Universität Berlin** Berlin · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/technische-universitat-berlin/) · [🎓**University of Amsterdam** Amsterdam · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) · [🎓**University of Sheffield** Sheffield · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-sheffield/) · [🎓**Universitat Politècnica de Catalunya** Barcelona · Spain 1 work here](https://md.research.elamur.ai/free/en/universities/universitat-politecnica-de-catalunya/)

works and citations from OpenAlex and our library.

- [↑ back to Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)