Ananiadou, S. - NaCTeM Publications

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Vorname(n):	S.
Nachname(n):	Ananiadou

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Shardlow, M., Przybyɫa, P., Batista-Navarro, R., Carter, J., McNaught, J. und 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. und Ananiadou, S., Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform, in: Computational Linguistics and Intelligent Text Processing, Seiten 559-571, Springer Berlin Heidelberg, 2013

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

Luo, Z., Xie, Q. und 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. und 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), Seiten 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. und 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), Seiten 616--627, 2008

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. und 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. und 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, Seiten 119- 126, 2024

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

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

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

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Stenetorp, P., Pyysalo, S., Ananiadou, S. und 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. und Ananiadou, S., Generating Natural Language specifications from UML class diagrams (2008), in: Requirements Engineering, 13:1(1--18)

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

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Liu, B, Schlegel, V., Thompson, P., Batista-Navarro, R. und 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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Luo, Z., Liu, L., Ananiadou, S. und Xie, Q., Graph Contrastive Topic Model (2024), in: Expert Systems with Applications, 255:Part C(124631)

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Xie, Q., Huang, J., Saha, T und Ananiadou, S., GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, Seiten 6259–6269, 2022

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Wang, Y., Feng, D., Dai, Y., Chen, Z., Huang, J., Ananiadou, S., Xie, Q. und Wang, H., HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

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Black, W.J., Rupp, C. J., Nobata, C., McNaught, J., Tsujii, J. und Ananiadou, S., High-Precision Semantic Search by Generating and Testing Questions, in: Proceedings of the UK e-Science All Hands Meeting, 2010

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Tekiner, F., Ananiadou, S., Tsuruoka, Y. und Tsujii, J., Highly Scalable Text Mining Parallel Tagging Application, in: Proceedings of ICSSCW2009, Famgusta, Cyprus, 2009

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Yu, Z. und Ananiadou, S., How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seiten 3281–3292, 2024

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Sasaki, Y., Tsuruoka, Y., McNaught, J. und Ananiadou, S., How to make the most of NE dictionaries in statistical NER (2008), in: BMC Bioinformatics, 9:Suppl 11(S5)

Sasaki, Y., Tsuruoka, Y., McNaught, J. und Ananiadou, S., How to Make the Most of NE Dictionaries in Statistical NER, in: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008), Seiten 63--70, Association for Computational Linguistics, 2008

Inan, E., Thompson, P., Yates, T. und Ananiadou, S., HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), Seiten 514-519, 2021

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Thompson, P. und Ananiadou, S., HYPHEN: A flexible, hybrid method to map phenotype concept mentions to terminological resources (2018), in: Terminology, 24:1(91-121)

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