Ananiadou, S. - NaCTeM Publications

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

wachtwoord:

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

Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Admin for a login account.

This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit www.aigaion.de.

Voornamen:	S.
Achternamen:	Ananiadou

| 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 | 401-407 |

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

[DOI]
[URL]

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

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

[DOI]
[URL]

Tsuruoka, Y., Tsujii, J. en 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), pagina's 790--798, 2009

[URL]

Kano, Y., Nguyen, N. T. H., SÃ¦tre, R., Yoshida, K., Miyao, Y., Tsuruoka, Y., Matsubayashi, Y., Ananiadou, S. en 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), pagina's 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. en 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

[URL]

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. en 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, pagina's 119- 126, 2024

[URL]

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]

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

[URL]

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

[URL]

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

[DOI]
[URL]

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

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

[DOI]
[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]

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]

Xie, Q., Huang, J., Saha, T en Ananiadou, S., GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, pagina's 6259–6269, 2022

[URL]

Wang, Y., Feng, D., Dai, Y., Chen, Z., Huang, J., Ananiadou, S., Xie, Q. en 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

[URL]

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

[URL]

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

[URL]

Yu, Z. en 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, pagina's 3281–3292, 2024

[DOI]
[URL]

Sasaki, Y., Tsuruoka, Y., McNaught, J. en 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. en 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), pagina's 63--70, Association for Computational Linguistics, 2008

Inan, E., Thompson, P., Yates, T. en Ananiadou, S., HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), pagina's 514-519, 2021

[URL]

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

[DOI]
[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 | 376-400 | 401-407 |

Tijd voor verwerking: 0.0964 seconden.