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| , , , , , and , On Revolutions (2018), in: V-Dem Working Paper(63) |
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| and , Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing |
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| , , and , 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), páginas 2873-2883, 2019 |
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| , and , Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, páginas 117--125, Association for Computational Linguistics, 2017 |
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| , and , A Neural Model for Aggregating Coreference Annotation in Crowdsourcing, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), páginas 5760-5773, 2020 |
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| , , , , and , 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), páginas 37-46, 2012 |
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| , , and , 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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| , , and , Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, páginas 10846–10858, 2023 |
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| , , and , Incorporating Zoning Information into Argument Mining from Biomedical Literature, in: Proceedings of LREC 2022, páginas 6162-6169, 2022 |
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| , , , and , 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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| , , , and , 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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| , , , , and , RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, arXiv, 2024 |
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| , , , , and , EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, in: Proceedings of KDD 2024, páginas 5487 - 5496, 2024 |
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| , , , , and , Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300) |
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| , , , , and , FMDLlama: Financial Misinformation Detection based on Large Language Models, arXiv, 2024 |
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| , , and , Graph Contrastive Topic Model (2024), in: Expert Systems with Applications, 255:Part C(124631) |
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| , and , The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models, arXiv, 2024 |
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| , and , Factual consistency evaluation of summarization in the Era of large language models (2024), in: Expert Systems with Applications, 254(124456) |
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| , and , CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, páginas 1843–1852, 2023 |
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| , and , ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023 |
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| , and , Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, páginas 4667–4680, 2022 |
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| , , and , Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024 |
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| , , and , UK Institutional Repository Search: Innovation and Discovery (2009), in: Ariadne, 61 |
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| , and , A Comparative Study on Generalization of Semantic Roles in FrameNet., in: Proceedings of ACL-IJCNLP 2009, páginas 19--27, 2009 |
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| , and , 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, páginas 97--104, 2009 |
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-546 |