Palavras-chave:
Publications of Ananiadou, S. sorted by first author
| 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 | 376-389 |
W
| , and , Biomedical Chinese-English CLIR Using an Extended CMeSH Resource to Expand Queries, in: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012), páginas 1148-1155, 2012 |
[URL] |
| , and , Disambiguating the Species of Biomedical Named Entities Using Natural Language Parsers (2010), in: Bioinformatics, 26:5(661--667) |
[DOI] [URL] |
| , and , Classifying Relations for Biomedical Named Entity Disambiguation, in: Procedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'09), páginas 1513--1522, 2009 |
[URL] |
| , and , Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018 |
[URL] |
| , , , , , and , Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries (2019), in: BMC Bioinformatics, 20(430) |
[URL] |
| , , , , and , Software Analytics for MDE Communities, in: Proceedings of the Open Source Software for Model Driven Engineering Workshop (OSS4MDE’14), 2014 |
[URL] |
X
| , , and , Pre-trained language models with domain knowledge for biomedical extractive summarization (2022), in: Knowledge-Based Systems, 252(109460) |
[DOI] [URL] |
| , , and , GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, páginas 6259–6269, 2022 |
[URL] |
| , and , A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models, arXiv, 2023 |
[URL] |
| , and , Knowledge-enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization (2023), in: IEEE Journal of Biomedical and Health Informatics |
[DOI] [URL] |
| , , , , , , and , Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary (2015), in: BMC Bioinformatics, 16(149) |
[DOI] [URL] |
| , , , , , , and , Anatomical entity recognition with a hierarchical framework augmented by external resources (2014), in: PLOS ONE, 9:10(e108396) |
[DOI] [URL] |
Y
| , , , , , , and , Biosimilar Versus Originator Insulins: Systematic review and meta-analysis (2018), in: Diabetes, Obesity and Metabolism |
[DOI] [URL] |
| , , , , and , Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, páginas 6056–6077, 2023 |
[URL] |
| , , and , Cluster-Level Contrastive Learning for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12) |
[DOI] [URL] |
| , and , A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, páginas 2917–2927, 2023 |
[URL] |
| , and , Disentangled Variational Autoencoder for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12) |
[DOI] [URL] |
| , and , A Mental State Knowledge-Aware and Contrastive Network for Early Stress and Depression Detection on Social Media (2022), in: Information Processing and Management, 59:4(102961) |
[DOI] [URL] |
| , , , , and , MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models, in: Proceedings of WWW 2024, páginas 4489 - 4500, 2024 |
[DOI] [URL] |
| and , How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning, arXiv, 2024 |
[URL] |
| , , and , Locating Factual Knowledge in Large Language Models: Exploring the Residual Stream and Analyzing Subvalues in Vocabulary Space, arXiv, 2023 |
[URL] |
| , and , Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410) |
[DOI] [URL] |
| , and , Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, páginas 92–102, 2023 |
[URL] |
| , , and , Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models, arXiv, 2023 |
[URL] |
Z
| and , Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), páginas 6-20, 2018 |
[URL] |
| 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 | 376-389 |