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I

Ananiadou, S., Friedman, C. und Tsujii, J., Introduction: named entity recognition in biomedicine (2004), in: Journal of Biomedical Informatics, 37:6(393--395)
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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. und Ananiadou, S., Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Seiten 876-882, 2021
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Yano, K., Miwa, M. und Ananiadou, S., IRIS: Rapid Curation Framework for Iterative Improvement of Noisy Named Entity Annotations, in: Proceedings of the International Conference on Applications of Natural Language to Information Systems, Seiten 58-69, 2025
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Tsuruoka, Y. und Tsujii, J., Iterative CKY Parsing for Probabilistic Context-Free Grammars, in: Natural Language Processing - IJCNLP 2004, Seiten 52-60, Springer-Verlag, 2005
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Nobata, C., Cotter, P., Okazaki, N., Rea, B., Sasaki, Y., Tsuruoka, Y., Tsujii, J. und Ananiadou, S., Kleio: a knowledge-enriched information retrieval system for biology, in: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, Singapore, Singapore, Seiten 787--788, ACM, 2008
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Inan, E., Thompson, P., Christopoulou, F., Yates, T. und Ananiadou, S., Knowledge Graph Enrichment of a Semantic Search System for Construction Safety, in: Intelligent Systems and Applications. IntelliSys 2022., Seiten 33-52, Springer, Cham, 2022
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Sun, X., Matsuzaki, T., Okanohara, D. und Tsujii, J., Latent Variable Perceptron Algorithm for Structured Classification, in: Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), Seiten 1236--1242, 2009
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Okanohara, D. und Tsujii, J., Learning Combination Features with L1 Regularization, in: Proceedings of NAACL-HLT, short papers, Seiten 97--100, 2009
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Andrade, D., Matsuzaki, T. und Tsujii, J., Learning the Optimal Use of Dependency-parsing Information for Finding Translations with Comparable Corpora, in: Proceedings of the 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web, Seiten 10--18, Association for Computational Linguistics, 2011
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Spasić, I., Nenadić, G. und Ananiadou, S., Learning to Classify Biomedical Terms through Literature Mining and Genetic Algorithms, in: Intelligent Data Engineering and Automated Learning – IDEAL 2004, Seiten 345--351, Springer-Verlag, 2004
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Espinosa, K., Batista-Navarro, R. und Ananiadou, S., Learning to recognise named entities in Tweets by exploiting weakly labelled data, in: Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT 2016), 2016
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Ohta, T., Tateisi, Y., Kim, J.-D., Yakushiji, A. und Tsujii, J., Linguistic and Biological Annotations of Biological Interaction Events, in: Proceedings of The Fifth International Conference on Language Resources and Evaluation (LREC 2006), Seiten 1402--1405, 2006
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Yu, Z. und Ananiadou, S., Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, in: Findings of the Association for Computational Linguistics: EMNLP 2024, Seiten 7065–7078, 2025
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Korkontzelos, I. und Ananiadou, S., Locating Requests among Open Source Software Communication Messages, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, Seiten 1347-1354, European Language Resources Association (ELRA), 2014
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