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Alle Publicaties gesorteerd op auteur
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| , , , , , en , On Revolutions (2018), in: V-Dem Working Paper(63) |
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| en , Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing |
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| , , en , Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pagina's 2873-2883, 2019 |
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| , en , Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, pagina's 117--125, Association for Computational Linguistics, 2017 |
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| , en , A Neural Model for Aggregating Coreference Annotation in Crowdsourcing, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pagina's 5760-5773, 2020 |
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| , , , , en , A three-way perspective on scientiï¬c discourse annotation for knowledge extraction, in: Proceedings of the ACL Workshop on Detecting Structure in Scholarly Discourse (DSSD), pagina's 37-46, 2012 |
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| , , en , Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature, in: Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023, 2023 |
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| , , en , Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pagina's 10846–10858, 2023 |
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| , , en , Incorporating Zoning Information into Argument Mining from Biomedical Literature, in: Proceedings of LREC 2022, pagina's 6162-6169, 2022 |
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| , , , en , Global information-aware argument mining based on a top-down multi-turn QA model (2023), in: Information Processing & Management, 60:5(103445) |
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| , , , en , ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, in: Proceedings of the 13th International Conference on Prestigious Applications of Intelligent Systems (PAIS-2024), 2024 |
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| , , , , en , RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, arXiv, 2024 |
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| , , , , en , EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, in: Proceedings of KDD 2024, pagina's 5487 - 5496, 2024 |
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| , , , , en , Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300) |
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| , , , , en , FMDLlama: Financial Misinformation Detection based on Large Language Models, arXiv, 2024 |
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| , , en , Graph Contrastive Topic Model (2024), in: Expert Systems with Applications, 255:Part C(124631) |
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| , en , The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models, arXiv, 2024 |
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| , en , Factual consistency evaluation of summarization in the Era of large language models (2024), in: Expert Systems with Applications, 254(124456) |
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| , en , CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, pagina's 1843–1852, 2023 |
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| , en , ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023 |
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| , en , Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, pagina's 4667–4680, 2022 |
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| , , en , Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024 |
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| , , en , UK Institutional Repository Search: Innovation and Discovery (2009), in: Ariadne, 61 |
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| , en , A Comparative Study on Generalization of Semantic Roles in FrameNet., in: Proceedings of ACL-IJCNLP 2009, pagina's 19--27, 2009 |
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| , en , Accurate and Robust Semantic Role Labeling using Multiple Generalization Criteria in PropBank, in: Proceedings of the 5th International Conference on Generative Approaches to the Lexicon, pagina's 97--104, 2009 |
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