---
title: "Saarland University — works"
description: "86 works by researchers of Saarland University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/saarland-university/works/"
---
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# Works of Saarland University

86 works · the most cited first · [← Saarland University](https://md.research.elamur.ai/free/en/universities/saarland-university/)

1. [**A Survey on Hate Speech Detection using Natural Language Processing**Anna Schmidt, Michael Wiegand*2017 · 1,799 citations*](https://md.research.elamur.ai/free/en/papers/schmidt-2017-survey-hate-speech-detection-natural/)
2. [**TnT – A Statistical Part-of-Speech Tagger**Thorsten Brants*2000 · 1,756 citations*](https://md.research.elamur.ai/free/en/papers/brants-2000-tnt-statistical-part-speech-tagger/)
3. [**Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data**Emily M. Bender, Alexander Koller*2020 · 1,371 citations*](https://md.research.elamur.ai/free/en/papers/bender-2020-climbing-nlu-meaning-form-understanding/)
4. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
5. [**Findings of the 2019 Conference on Machine Translation (WMT19)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 839 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/)
6. [**Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences**Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.*2018 · 669 citations*](https://md.research.elamur.ai/free/en/papers/khashabi-2018-looking-beyond-surface-challenge-set/)
7. [**The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages**Jan Hajič, Massimiliano Ciaramita, Richard Johansson, et al.*2009 · 631 citations*](https://md.research.elamur.ai/free/en/papers/hajic-2009-conll-2009-shared-task-syntactic/)
8. [**Using Semantic Roles to Improve Question Answering**Dan Shen, Mirella Lapata*2007 · 522 citations*](https://md.research.elamur.ai/free/en/papers/shen-2007-semantic-roles-improve-question-answering/)
9. [**Inducing Crosslingual Distributed Representations of Words**Alexandre Klementiev, Ivan Titov, Binod Bhattarai*2012 · 501 citations*](https://md.research.elamur.ai/free/en/papers/klementiev-2012-inducing-crosslingual-distributed-representations-words/)
10. [**MasakhaNER: Named Entity Recognition for African Languages**David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.*2021 · 429 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/)
11. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 415 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
12. [**An Annotation Scheme for Free Word Order Languages**Wojciech Skut, Brigitte Krenn, Thorsten Brants, et al.*1997 · 408 citations*](https://md.research.elamur.ai/free/en/papers/skut-1997-annotation-scheme-free-word-order/)
13. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
14. [**A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios**Michael A. Hedderich, Lukas Lange, Heike Adel, et al.*2021 · 399 citations*](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/)
15. [**Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages**Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al.*2020 · 333 citations*](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/)
16. [**Experiments on the Automatic Induction of German Semantic Verb Classes**Schulte im Walde, Sabine*2006 · 259 citations*](https://md.research.elamur.ai/free/en/papers/walde-2006-experiments-automatic-induction-german-semantic/)
17. [**The SALSA Corpus: a German Corpus Resource for Lexical Semantics**Aljoscha Burchardt, Katrin Erk, Anette Frank, et al.*2006 · 255 citations*](https://md.research.elamur.ai/free/en/papers/burchardt-2006-salsa-corpus-german-corpus-resource/)
18. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
19. [**Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection**Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/greshake-2023-ve-signed-up-compromising-real/)
20. [**Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning**Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, et al.*2022 · 195 citations*](https://md.research.elamur.ai/free/en/papers/alabi-2022-adapting-pre-trained-language-models/)
21. [**Learning Morphology with Morfette**Grzegorz Chrupala, Georgiana Dinu, Josef van Genabith*2008 · 189 citations*](https://md.research.elamur.ai/free/en/papers/chrupala-2008-learning-morphology-morfette/)
22. [**LawBench: Benchmarking Legal Knowledge of Large Language Models**Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.*2023 · 184 citations*](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/)
23. [**A Report on the DSL Shared Task 2014**Marcos Zampieri, Liling Tan, Nikola Ljubešić, et al.*2014 · 183 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2014-report-dsl-shared-task/)
24. [**Unsupervised Recognition of Literal and Non-Literal Use of Idiomatic Expressions**Caroline Sporleder, Linlin Li*2009 · 173 citations*](https://md.research.elamur.ai/free/en/papers/sporleder-2009-unsupervised-recognition-literal-non-literal/)
25. [**Overview of the DSL Shared Task 2015**Marcos Zampieri, Liling Tan, Nikola Ljubešić, et al.*2015 · 164 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2015-overview-dsl-shared-task/)
26. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
27. [**MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/)
28. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/)
29. [**SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects**David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/)
30. [**Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains**Wei Shi, Vera Demberg*2019 · 133 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-next-sentence-prediction-helps-implicit/)
31. [**NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis**Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.*2022 · 127 citations*](https://md.research.elamur.ai/free/en/papers/muhammad-2022-naijasenti-nigerian-twitter-sentiment-corpus/)
32. [**Implicitness of Discourse Relations**Fatemeh Torabi Asr, Vera Demberg*2012 · 100 citations*](https://md.research.elamur.ai/free/en/papers/asr-2012-implicitness-discourse-relations/)
33. [**Automatic induction of FrameNet lexical units**Marco Pennacchiotti, Diego De Cao, Roberto Basili, et al.*2008 · 88 citations*](https://md.research.elamur.ai/free/en/papers/pennacchiotti-2008-automatic-induction-framenet-lexical-units/)
34. [**A Systematic Study of Neural Discourse Models for Implicit Discourse Relation**Attapol Rutherford, Vera Demberg, Nianwen Xue*2017 · 78 citations*](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/)
35. [**Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems**Malte Gabsdil, Oliver Lemon*2004 · 74 citations*](https://md.research.elamur.ai/free/en/papers/gabsdil-2004-combining-acoustic-pragmatic-features-predict/)
36. [**Findings of the WMT 2018 Shared Task on Automatic Post-Editing**Rajen Chatterjee, Matteo Negri, Raphael Rubino, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/chatterjee-2018-findings-wmt-2018-shared-task/)
37. [**The MULI Project: Annotation and Analysis of Information Structure in German and English**Stefan Baumann, Caren Brinckmann, Silvia Hansen-Schirra, et al.*2004 · 59 citations*](https://md.research.elamur.ai/free/en/papers/baumann-2004-muli-project-annotation-analysis-information/)
38. [**Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks**Ines Rehbein, Merel Scholman, Vera Demberg*2016 · 59 citations*](https://md.research.elamur.ai/free/en/papers/rehbein-2016-annotating-discourse-relations-spoken-language/)
39. [**Annotation of Tense and Aspect Semantics for Sentential AMR**Lucia Donatelli, Michael Regan, William Croft, et al.*2018 · 57 citations*](https://md.research.elamur.ai/free/en/papers/donatelli-2018-annotation-tense-aspect-semantics-sentential/)
40. [**Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus**Emily M. Bender, Dan Flickinger, Stephan Oepen, et al.*2011 · 53 citations*](https://md.research.elamur.ai/free/en/papers/bender-2011-parser-evaluation-over-local-non/)
41. [**Transferring Coreference Chains through Word Alignment**Oana Postolache, Dan Cristea, Constantin Orasan*2006 · 53 citations*](https://md.research.elamur.ai/free/en/papers/postolache-2006-transferring-coreference-chains-through-word/)
42. [**Combining Word Sense and Usage for Modeling Frame Semantics**Diego De Cao, Danilo Croce, Marco Pennacchiotti, et al.*2008 · 50 citations*](https://md.research.elamur.ai/free/en/papers/cao-2008-combining-word-sense-usage-modeling/)
43. [**ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer**Dongqi Liu, Vera Demberg*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-chatgpt-vs-human-authored-text/)
44. [**Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet**Alexis Palmer, Caroline Sporleder*2010 · 41 citations*](https://md.research.elamur.ai/free/en/papers/palmer-2010-evaluating-framenet-style-semantic-parsing/)
45. [**Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task**Frances Yung, Vera Demberg, Merel Scholman*2019 · 39 citations*](https://md.research.elamur.ai/free/en/papers/yung-2019-crowdsourcing-discourse-relation-annotations-two/)
46. [**Automatic Prediction of Discourse Connectives**Eric Malmi, Daniele Pighin, Sebastian Krause, et al.*2018 · 38 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2018-automatic-prediction-discourse-connectives/)
47. [**Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification**Wei Shi, Vera Demberg*2019 · 36 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-learning-explicitate-connectives-seq2seq-network/)
48. [**FATE: a FrameNet-Annotated Corpus for Textual Entailment**Aljoscha Burchardt, Marco Pennacchiotti*2008 · 35 citations*](https://md.research.elamur.ai/free/en/papers/burchardt-2008-fate-framenet-annotated-corpus-textual/)
49. [**Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse Relations**Merel C.J. Scholman, Vera Demberg*2017 · 31 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2017-examples-specifications-that-prove-point/)
50. [**Coreference Resolution with and without Linguistic Knowledge**Olga Uryupina*2006 · 30 citations*](https://md.research.elamur.ai/free/en/papers/uryupina-2006-coreference-resolution-without-linguistic-knowledge/)
51. [**The ISO Standard for Dialogue Act Annotation, Second Edition**Harry Bunt, Volha Petukhova, Emer Gilmartin, et al.*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2020-iso-standard-dialogue-act-annotation/)
52. [**Categories of coherence relations in discourse annotation**Merel C.J. Scholman, Jacqueline Evers-Vermeul, Ted J.M. Sanders*2016 · 29 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2016-categories-coherence-relations-discourse-annotation/)
53. [**Expectations over Unspoken Alternatives Predict Pragmatic Inferences**Jennifer Hu, Roger Levy, Judith Degen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/)
54. [**Improving event prediction by representing script participants**Simon Ahrendt, Vera Demberg*2016 · 25 citations*](https://md.research.elamur.ai/free/en/papers/ahrendt-2016-improving-event-prediction-representing-script/)
55. [**Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification**Wei Shi, Frances Yung, Raphael Rubino, et al.*2017 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shi-2017-explicit-discourse-connectives-translation-implicit/)
56. [**On the Need of Cross Validation for Discourse Relation Classification**Wei Shi, Vera Demberg*2017 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shi-2017-need-cross-validation-discourse-relation/)
57. [**DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations**Merel Scholman, Tianai Dong, Frances Yung, et al.*2022 · 23 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2022-discogem-crowdsourced-corpus-genre-mixed/)
58. [**Revisiting the ISO standard for dialogue act annotation**Harry Bunt, Volha Petukhova, Alex Chengyu Fang*2017 · 21 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2017-revisiting-iso-standard-dialogue-act/)
59. [**Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification**Dilafruz Amanova, Volha Petukhova, Dietrich Klakow*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/amanova-2016-creating-annotated-dialogue-resources-cross/)
60. [**Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/)
61. [**Alto: Rapid Prototyping for Parsing and Translation**Johannes Gontrum, Jonas Groschwitz, Alexander Koller, et al.*2017 · 18 citations*](https://md.research.elamur.ai/free/en/papers/gontrum-2017-alto-rapid-prototyping-parsing-translation/)
62. [**Comparison of methods for explicit discourse connective identification across various domains**Merel Scholman, Tianai Dong, Frances Yung, et al.*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2021-comparison-methods-explicit-discourse-connective/)
63. [**Measuring the Strength of Linguistic Cues for Discourse Relations**Fatemeh Torabi Asr, Vera Demberg*2012 · 17 citations*](https://md.research.elamur.ai/free/en/papers/asr-2012-measuring-strength-linguistic-cues-discourse/)
64. [**Coreference in Spoken vs. Written Texts: a Corpus-based Analysis**Marilisa Amoia, Kerstin Kunz, Ekaterina Lapshinova-Koltunski*2012 · 16 citations*](https://md.research.elamur.ai/free/en/papers/amoia-2012-coreference-spoken-vs-written-texts/)
65. [**Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German**Kerstin Kunz, Ekaterina Lapshinova-Koltunski, José Manuel Martínez*2016 · 14 citations*](https://md.research.elamur.ai/free/en/papers/kunz-2016-beyond-identity-coreference-contrasting-indicators/)
66. [**DiscoFlan: Instruction Fine-tuning and Refined Text Generation for Discourse Relation Label Classification**Kaveri Anuranjana*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/anuranjana-2023-discoflan-instruction-fine-tuning-refined/)
67. [**Abstract Coreference in a Multilingual Perspective: a View on Czech and German**Anna Nedoluzhko, Ekaterina Lapshinova-Koltunski*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2016-abstract-coreference-multilingual-perspective-view/)
68. [**Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification**Wei Shi, Frances Yung, Vera Demberg*2019 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shi-2019-acquiring-annotated-data-cross-lingual/)
69. [**Exploring diachronic syntactic shifts with dependency length: the case of scientific English**Tom S Juzek, Marie Pauline Krielke, Elke Teich*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/juzek-2020-exploring-diachronic-syntactic-shifts-dependency/)
70. [**German and English Treebanks and Lexica for Tree-Adjoining Grammars**Miriam Kaeshammer, Vera Demberg*2012 · 8 citations*](https://md.research.elamur.ai/free/en/papers/kaeshammer-2012-german-english-treebanks-lexica-tree/)
71. [**Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions**Vivien Macketanz, Shushen Manakhimova, Eleftherios Avramidis, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/macketanz-2022-linguistically-motivated-evaluation-2022-state/)
72. [**Tracing Syntactic Change in the Scientific Genre: Two Universal Dependency-parsed Diachronic Corpora of Scientific English and German**Marie-Pauline Krielke, Luigi Talamo, Mahmoud Fawzi, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/krielke-2022-tracing-syntactic-change-scientific-genre/)
73. [**Investigating Explicitation of Discourse Connectives in Translation using Automatic Annotations**Frances Yung, Merel Scholman, Ekaterina Lapshinova-Koltunski, et al.*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/yung-2023-investigating-explicitation-discourse-connectives-translation/)
74. [**RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework**Yifan Wang, Vera Demberg*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/)
75. [**Presupposition & VP-Ellipsis**Johan Bos*1994 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bos-1994-presupposition-vp-ellipsis/)
76. [**MultiCoPIE: A Multilingual Corpus of Potentially Idiomatic Expressions for Cross-lingual PIE Disambiguation**Uliana Sentsova, Debora Ciminari, Josef van Genabith, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/sentsova-2025-multicopie-multilingual-corpus-potentially-idiomatic/)
77. [**Universal Dependencies Treebank for Uzbek**Arofat Akhundjanova, Luigi Talamo*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/akhundjanova-2025-universal-dependencies-treebank-uzbek/)
78. [**When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation**David Tan, Pinzhen Chen, Josef van Genabith, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/tan-2026-when-flores-bloomz-wrong-cross/)
79. [**Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages**Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/azime-2026-bridging-culture-gap-framework-llm/)
80. [**Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution**Tatiana Anikina, Arne Binder, David Harbecke, et al.*2025*](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/)
81. [**AmharicStoryQA: A Multicultural Story Question Answering Benchmark in Amharic**Israel Abebe Azime, Abenezer Kebede Angamo, Hana Mekonen Tamiru, et al.*2026*](https://md.research.elamur.ai/free/en/papers/azime-2026-amharicstoryqa-multicultural-story-question-answering/)
82. [**Applying Information-theoretic Notions to Measure Effects of the Plain English Movement on English Law Reports and Scientific Articles**Sergei Bagdasarov, Stefania Degaetano-Ortlieb*2024*](https://md.research.elamur.ai/free/en/papers/bagdasarov-2024-applying-information-theoretic-notions-measure/)
83. [**CoBra: A Compound Branching Resource for Nominal Triconstituent Compounds in English and German**Carmen Schacht, Isabell Landwehr, Diana Davidson, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schacht-2026-cobra-compound-branching-resource-nominal/)
84. [**Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and English**Iza Škrjanec, Irene Elisabeth Winther, Vera Demberg, et al.*2026*](https://md.research.elamur.ai/free/en/papers/skrjanec-2026-is-cross-lingual-transfer-bilingual/)
85. [**AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing**Sarubi Thillainathan, Ji-Ung Lee, Michael Sullivan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thillainathan-2026-authormix-modular-authorship-style-transfer/)
86. [**Modeling Changing Scientific Concepts with Complex Networks: A Case Study on the Chemical Revolution**Sofia Aguilar Valdez, Stefania Degaetano-Ortlieb*2026*](https://md.research.elamur.ai/free/en/papers/valdez-2026-modeling-changing-scientific-concepts-complex/)
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