Alle Publikationen nach Titel sortiert


M

Rak, R. und Ananiadou, S., Making UIMA Truly Interoperable with SPARQL, in: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, Sofia, Bulgaria, Seiten 88-97, 2013
attachment
[URL]
Nawaz, R., Thompson, P. und Ananiadou, S., Meta-Knowledge Annotation at the Event Level: Comparison between Abstracts and Full Papers, in: Proceedings of the Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012), Seiten 24-31, 2012
[URL]
Nawaz, R., Thompson, P., McNaught, J. und Ananiadou, S., Meta-Knowledge Annotation of Bio-Events, in: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), Seiten 2498--2505, 2010
[URL]
Yang, K, Liu, Z., Xie, Q., Huang, J., Zhang, T. und Ananiadou, S., MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[URL]
Nenadić, G., Spasić, I. und Ananiadou, S., Mining Biomedical Abstracts: What’s in a Term?, in: Natural Language Processing – IJCNLP 2004, Springer-Verlag, 2005
attachment
Piao, S., Ananiadou, S., Tsuruoka, Y., Sasaki, Y. und McNaught, J., Mining Opinion Polarity Relations of Citations, in: Proceedings of the 7th International Workshop on Computational Semantics, Seiten 366-371, 2007
attachment
Nenadić, G. und Ananiadou, S., Mining Semantically Related Terms from Biomedical Literature (2006), in: ACM Transactions on Asian Language Information Processing (TALIP), 5:1(22--43)
attachment
Li, M., Myrman, A. F., Mu, T. und Ananiadou, S., Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Seiten 2873-2883, 2019
[URL]
Arase, Y. und Tsujii, J., Monolingual Phrase Alignment on Parse Forests, in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Seiten 1-11, 2017
[URL]
Araki, N., Yoshida, K., Tsuruoka, Y. und Tsujii, J., Move Prediction in Go with the Maximum Entropy Method, in: 2007 IEEE Symposium on Computational Intelligence and Games, Seiten 189-195, 2007
attachment
Sasaki, Y., Rea, B. und Ananiadou, S., Multi-topic Aspects in Clinical Text Classification, in: BIBM '07: Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine, Seiten 62--70, IEEE Computer Society, 2007
attachment
Hatori, J., Murakami, A. und Tsujii, J., Multi-Topical Discussion Summarization using Structured Lexical Chains and Cue Words, in: Proceedings of CICLing 2011, Lecture Notes in Computer Science, Seiten 313-327, Springer, 2011
[DOI]
[URL]