Ananiadou, S. - NaCTeM Publications

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Primeiro nome(s):	S.
Sobrenome(s):	Ananiadou

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Rosner, M., Attard, A., Thompson, P., Gatt, A. and Ananiadou, S., Extending a Tool Resource Framework with U-Compare, in: Proceedings of the 5th Language & Technology Conference (LTC'2011), 2011

Rosner, M., Attard, A., Thompson, P., Gatt, A. and Ananiadou, S., Extending a Tool Resource Framework with U-Compare, in: Human Language Technology Challenges for Computer Science and Linguistics, páginas 315-326, Springer, 2014

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Kontonatsios, G., Thompson, P., Batista-Navarro, R., MihÄƒilÄƒ, C., Korkontzelos, I. and Ananiadou, S., Extending an interoperable platform to facilitate the creation of multilingual and multimodal NLP applications, in: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, Association for Computational Linguistics, Sofia, Bulgaria, páginas 43-48, 2013

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Thompson, P. and Ananiadou, S., Extracting Gene-Disease Relations from Text to Support Biomarker Discovery, in: Proceedings of the 7th International conference on Digital Health, páginas 180-189, 2017

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Sasaki, Y., Wang, X. and Ananiadou, S., Extracting Secondary Bio-Event Arguments with Extraction Constraints (2011), in: Computational Intelligence, 27:4(702-721)

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Miwa, M., Thompson, P., McNaught, J., Kell, D. B. and Ananiadou, S., Extracting semantically enriched events from biomedical literature (2012), in: BMC Bioinformatics, 13(108)

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Shardlow, M., Przybyɫa, P., Batista-Navarro, R., Carter, J., McNaught, J. and Ananiadou, S., Facilitating and promoting web annotation with Argo, in: Proceedings of I Annotate 2016, 2016

Batista-Navarro, R., Kontonatsios, G., MihÄƒilÄƒ, C., Thompson, P., Rak, R., Nawaz, R., Korkontzelos, I. and Ananiadou, S., Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform, in: Computational Linguistics and Intelligent Text Processing, páginas 559-571, Springer Berlin Heidelberg, 2013

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Tsuruoka, Y., Tsujii, J. and Ananiadou, S., FACTA: a text search engine for finding associated biomedical concepts (2008), in: Bioinformatics, 24:21(2259-60)

Luo, Z., Xie, Q. and Ananiadou, S., Factual consistency evaluation of summarization in the Era of large language models (2024), in: Expert Systems with Applications, 254(124456)

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Tsuruoka, Y., Tsujii, J. and Ananiadou, S., Fast Full Parsing by Linear-Chain Conditional Random Fields, in: Proceedings of the 12th Conference of European Chapter of the Association for Computational Linguistics (EACL-09), páginas 790--798, 2009

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Kano, Y., Nguyen, N. T. H., SÃ¦tre, R., Yoshida, K., Miyao, Y., Tsuruoka, Y., Matsubayashi, Y., Ananiadou, S. and Tsujii, J., Filling the gaps between tools and users: a tool comparator, using protein-protein interaction as an example., in: Proceedings of the Pacific Symposium on Biocomputing 2008 (PSB 2008), páginas 616--627, 2008

Cao, Y., Li, H., Yu, Y., Reddy Javaji, S., He, Y., Huang, J., Zhu, Z., Xie, Q., Liu, X. -Y., Subbalakshmi, K., Qiu, M., Ananiadou, S. and Nie., J. -Y., FinAudio: A Benchmark for Audio Large Language Models in Financial Applications, arXiv, 2025

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Xie, Q., Han, W., Chen, Z., Xiang, R., Zhang, X., He, Y., Xiao, M., Li, D., Dai, Y., Feng, D., Xu, Y., Kang, H., Kuang, Z., Yuan, C., Yang, K, Luo, Z., Zhang, T., Liu, Z., Xiong, G., Deng, Z., Jiang, Y., Yao, Z., Li, H., Yu, Y., Lopez-Lira, A., Wang, B., Lai, Y., Wang, H., Peng, M., Ananiadou, S. and Huang, J., FinBen: An Holistic Financial Benchmark for Large Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

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Xie, Q., Huang, J., Li, D., Chen, Z., Xiang, R., Xiao, M., Yu, Y., Somasundaram, V., Yang, K, Yuan, C., Luo, Z., Liu, Z., He, Y., Jiang, Y., Li, H., Feng, D., Liu, X. -Y., Wang, B., Wang, H., Lai, Y., Suchow, J., Lopez-Lira, A., Peng, M. and Ananiadou, S., FinNLP-AgentScen-2024 Shared Task: Financial Challenges in Large Language Models - FinLLMs, in: Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning, páginas 119- 126, 2024

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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. and 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), páginas 271–276, 2025

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Xiong, G., Deng, Z., Wang, K., Cao, Y., Li, H., Yu, Y., Peng, X., Lin, M., Smith, K., Liu, X. -Y., Huang, J., Ananiadou, S. and Xie, Q., FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading, in: Findings of the Association for Computational Linguistics: ACL 2025, In Press

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

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Kabir, M., Tahsin, T. and Ananiadou, S., From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modelin, arXiv, 2025

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Cao, J., Peek, N., Renehan, A. G and Ananiadou, S., Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection, in: Proceedings of BioNLP 2023, páginas 26–36, 2023

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Bishop, J., Xie, Q. and Ananiadou, S., GenCompareSum: a hybrid unsupervised summarization method using salience, in: Proceedings of BioNLP 2022, páginas 220–240, 2022

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Stenetorp, P., Pyysalo, S., Ananiadou, S. and Tsujii, J., Generalising semantic category disambiguation with large lexical resources for fun and profit (2014), in: Journal of Biomedical Semantics, 5(26)

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Meziane, F., Athanasakis, N. and Ananiadou, S., Generating Natural Language specifications from UML class diagrams (2008), in: Requirements Engineering, 13:1(1--18)

Cao, J. and Ananiadou, S., GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction, in: Findings of EMNLP, páginas 2119–2126, 2021

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Liu, B, Schlegel, V., Thompson, P., Batista-Navarro, R. and Ananiadou, S., 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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