Luise Dürlich

Explainability for NLP in Pharmacovigilance: A Study on Adverse Event Report Triage in Swedish

Dürlich, Luise; Bergman, Erik; Larsson, Maria; Dalianis, Hercules et al.

Ingår i Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health), s. 46-68, 2025

• DOI för Explainability for NLP in Pharmacovigilance: A Study on Adverse Event Report Triage in Swedish

Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?

Gogoulou, Evangelia; Zahra, Shorouq; Guillou, Liane; Dürlich, Luise et al.

Ingår i Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM²), s. 161-177, 2025

SweSAT-1.0: The Swedish University Entrance Exam as a Benchmark for Large Language Models

Kurfalı, Murathan; Zahra, Shorouq; Gogoulou, Evangelia; Dürlich, Luise et al.

Ingår i Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), s. 331-339, 2025

ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality

Karlgren, Jussi; Dürlich, Luise; Gogoulou, Evangelia; Guillou, Liane et al.

Ingår i Advances in Information Retrieval, s. 459-465, 2024

• DOI för ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality

Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen

Dürlich, Luise; Gogoulou, Evangelia; Guillou, Liane; Nivre, Joakim et al.

Ingår i Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), s. 691-702, 2024

• Ladda ner fulltext (pdf) av Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen

Optimizing Signal Management in a Vaccine Adverse Event Reporting System: A Proof-of-Concept with COVID-19 Vaccines Using Signs, Symptoms, and Natural Language Processing

Dong, Guojun; Bate, Andrew; Haguinet, François; Westman, Gabriel et al.

Ingår i Drug Safety, s. 173-182, 2024

• DOI för Optimizing Signal Management in a Vaccine Adverse Event Reporting System: A Proof-of-Concept with COVID-19 Vaccines Using Signs, Symptoms, and Natural Language Processing
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BERT based natural language processing for triage of adverse drug reaction reports shows close to human-level performance

Bergman, Erik; Dürlich, Luise; Arthurson, Veronica; Sundström, Anders et al.

Ingår i PLOS Digital Health, 2023

• DOI för BERT based natural language processing for triage of adverse drug reaction reports shows close to human-level performance
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Nucleus Composition in Transition-Based Dependency Parsing

Nivre, Joakim; Basirat, Ali; Dürlich, Luise; Moss, Adam

Ingår i Computational Linguistics, s. 849-886, 2022

• DOI för Nucleus Composition in Transition-Based Dependency Parsing
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Explainability for NLP in Pharmacovigilance: A Study on Adverse Event Report Triage in Swedish

Dürlich, Luise; Bergman, Erik; Larsson, Maria; Dalianis, Hercules et al.

Ingår i Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health), s. 46-68, 2025

• DOI för Explainability for NLP in Pharmacovigilance: A Study on Adverse Event Report Triage in Swedish

Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?

Gogoulou, Evangelia; Zahra, Shorouq; Guillou, Liane; Dürlich, Luise et al.

Ingår i Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM²), s. 161-177, 2025

SweSAT-1.0: The Swedish University Entrance Exam as a Benchmark for Large Language Models

Kurfalı, Murathan; Zahra, Shorouq; Gogoulou, Evangelia; Dürlich, Luise et al.

Ingår i Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), s. 331-339, 2025

ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality

Karlgren, Jussi; Dürlich, Luise; Gogoulou, Evangelia; Guillou, Liane et al.

Ingår i Advances in Information Retrieval, s. 459-465, 2024

• DOI för ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality

Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen

Dürlich, Luise; Gogoulou, Evangelia; Guillou, Liane; Nivre, Joakim et al.

Ingår i Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), s. 691-702, 2024

• Ladda ner fulltext (pdf) av Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen

Overview of ELOQUENT 2024: Shared Tasks for Evaluating Generative Language Model Quality

Karlgren, Jussi; Dürlich, Luise; Gogoulou, Evangelia; Guillou, Liane et al.

Ingår i Experimental IR Meets Multilinguality, Multimodality, and Interaction, s. 53-72, 2024

• DOI för Overview of ELOQUENT 2024: Shared Tasks for Evaluating Generative Language Model Quality

On the Concept of Resource-Efficiency in NLP

Dürlich, Luise; Gogoulou, Evangelia; Nivre, Joakim

Ingår i Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), s. 135-145, 2023

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What Causes Unemployment?: Unsupervised Causality Mining from Swedish Governmental Reports

Dürlich, Luise; Nivre, Joakim; Stymne, Sara

Ingår i Proceedings of the Second Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2023), s. 25-29, 2023

• Ladda ner fulltext (pdf) av What Causes Unemployment?: Unsupervised Causality Mining from Swedish Governmental Reports

Cause and Effect in Governmental Reports: Two Data Sets for Causality Detection in Swedish

Dürlich, Luise; Reimann, Sebastian; Finnveden, Gustav; Nivre, Joakim et al.

Ingår i Proceedings of the First Workshop on Natural Language Processing for Political Sciences (PoliticalNLP), s. 46-55, 2022

• Ladda ner fulltext (pdf) av Cause and Effect in Governmental Reports: Two Data Sets for Causality Detection in Swedish

Semantic clustering as a scalable framework for vaccine pharmacovigilance: analysis of app-based health narratives in the UK

Varotsis, Georgios; Dürlich, Luise; Dekkers, Koen; Hammar, Ulf et al.