Publicatielijst - NaCTeM Publications

BEKIJK
EXPORTEER
- Exporteer alle publicaties
SORTEER OP
- Auteur
- Titel
- Type/tijdschrift
- Jaar
- Toevoegdatum
SYSTEEM
- Help
- Over deze site
GASTGEBRUIKER
Guest
AANMELDEN
Naam:

wachtwoord:

Deutsch, English, Nederlands, Norsk, Português, <meer...>

| 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 | 526-550 | 551-566 |

Krauthammer, M. en NenadiÄ‡, G., Term identification in the biomedical literature (2004), in: Journal of Biomedical Informatics, 37:6(512--526)

Lambert, B. C., Kontonatsios, G., Mauch, M., Kokkoris, T., Jockers, M., Ananiadou, S. en Leroi, A. M., The pace of modern culture (2020), in: Nature Human Behaviour

[DOI]
[URL]

Lapitan, F., Batista-Navarro, R. en Albacea, E., Crowdsourcing-based Annotation of Emotions in Filipino and English Tweets, in: Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP 2016), 2016

Leroi, A. M., Lambert, B. C., Mauch, M., Papadopoulou, M., Ananiadou, S., Lindberg, S. I. I. en Lindenfors, P., On revolutions (2020), in: Palgrave Communications, 6(4)

[DOI]
[URL]

Leroi, A. M., Lambert, B. C., Mauch, M., Papadopoulou, M., Ananiadou, S., Lindberg, S. I. I. en Lindenfors, P., On Revolutions (2018), in: V-Dem Working Paper(63)

[DOI]
[URL]

Li, M. en Ananiadou, S., Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing

[DOI]
[URL]

Li, M., Myrman, A. F., Mu, T. en Ananiadou, S., 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

[URL]

Li, M., Nguyen, N. T. H. en Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, pagina's 117--125, Association for Computational Linguistics, 2017

[URL]

Li, M., Takamura, H. en Ananiadou, S., 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

[URL]

Liakata, M., Thompson, P., de Waard, A., Nawaz, R., Pander Maat, H. en Ananiadou, S., 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

[URL]

Liu, B, Schlegel, V., Batista-Navarro, R. en Ananiadou, S., 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

[URL]

Liu, B, Schlegel, V., Batista-Navarro, R. en Ananiadou, S., 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

[URL]

Liu, B, Schlegel, V., Batista-Navarro, R. en Ananiadou, S., Incorporating Zoning Information into Argument Mining from Biomedical Literature, in: Proceedings of LREC 2022, pagina's 6162-6169, 2022

[URL]

Liu, B, Schlegel, V., Thompson, P., Batista-Navarro, R. en Ananiadou, S., Global information-aware argument mining based on a top-down multi-turn QA model (2023), in: Information Processing & Management, 60:5(103445)

[DOI]
[URL]

Liu, Z., Liu, B, Thompson, P., Yang, K en Ananiadou, S., 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

[DOI]
[URL]

Liu, Z., Qian, L., Xie, Q., Huang, J., Yang, K en Ananiadou, S., MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs, arXiv, 2025

[URL]

Liu, Z., Thompson, P., Rong, J. en Ananiadou, S., ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories, arXiv, 2025

[URL]

Liu, Z., Wang, K., Bao, Z., Zhang, X., Dong, J., Yang, K, Kabir, M., Giannouris, P., Xing, R., Park, S., Kim, J., Li, D., Xie, Q. en Ananiadou, S., FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task, in: Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), pagina's 271–276, 2025

[URL]

Liu, Z., Yang, K, Hovy, E. en Ananiadou, S., Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments, arXiv, 2025

[URL]

Liu, Z., Yang, K, Xie, Q., de Kock, C., Ananiadou, S. en Hovy, E., RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, in: Proceedings of ACL 2025, In Press

[URL]

Liu, Z., Yang, K, Zhang, T., Xie, Q., Yu, Z. en Ananiadou, S., 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

[URL]

Liu, Z., Zhang, T., Yang, K, Thompson, P., Yu, Z. en Ananiadou, S., Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300)

[DOI]

Liu, Z., Zhang, X., Yang, K, Xie, Q., Huang, J. en Ananiadou, S., FMDLlama: Financial Misinformation Detection based on Large Language Models, arXiv, 2024

[URL]

Luo, Z., Liu, L., Ananiadou, S. en Xie, Q., Graph Contrastive Topic Model (2024), in: Expert Systems with Applications, 255:Part C(124631)

[DOI]
[URL]

Luo, Z., Xie, Q. en Ananiadou, S., The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models, arXiv, 2024

[URL]

Tijd voor verwerking: 0.0874 seconden.