Publication list - NaCTeM Publications

BROWSE
EXPORT
- Export all publications
SORT BY
- Author
- Title
- Type/Journal
- Year
- Recently added
SITE
- Help
- About this site
GUEST USER
Guest
LOGIN
Name:

Password:

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

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.

| 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 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-546 |

Li, M., Myrman, A. F., Mu, T. and 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), pages 2873-2883, 2019

[URL]

Arase, Y. and Tsujii, J., Monolingual Phrase Alignment on Parse Forests, in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1-11, 2017

[URL]

Araki, N., Yoshida, K., Tsuruoka, Y. and Tsujii, J., Move Prediction in Go with the Maximum Entropy Method, in: 2007 IEEE Symposium on Computational Intelligence and Games, pages 189-195, 2007

Sasaki, Y., Rea, B. and Ananiadou, S., Multi-topic Aspects in Clinical Text Classification, in: BIBM '07: Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine, pages 62--70, IEEE Computer Society, 2007

Hatori, J., Murakami, A. and Tsujii, J., Multi-Topical Discussion Summarization using Structured Lexical Chains and Cue Words, in: Proceedings of CICLing 2011, Lecture Notes in Computer Science, pages 313-327, Springer, 2011

[DOI]
[URL]

Przybyɫa, P., Nguyen, N. T. H., Shardlow, M., Kontonatsios, G. and Ananiadou, S., NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features, in: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), pages 614-620, 2016

[URL]

Batista-Navarro, R., Rak, R. and Ananiadou, S., NaCTeM CTD Web Services, in: Proceedings of the Fourth BioCreative Challenge Evaluation Workshop, Bethesda, Maryland, USA, pages 85-89, 2013

Miwa, M. and Ananiadou, S., NaCTeM EventMine for BioNLP 2013 CG and PC tasks, in: Proceedings of BioNLP Shared Task 2013 Workshop, Sofia, Bulgaria, pages 94-98, Association for Computational Linguistics, 2013

[URL]

Wang, X., Rak, R., Restificar, A., Nobata, C., Rupp, C. J., Batista-Navarro, R., Nawaz, R. and Ananiadou, S., NaCTeM Systems for BioCreative III PPI Tasks, in: Proceedings of the BioCreative III Workshop, pages 142-147, 2010

[URL]

Rak, R., Batista-Navarro, R., Rowley, A., Miwa, M., Carter, J. and Ananiadou, S., NaCTeMâ€™s BioC Modules and Resources for BioCreative IV, in: Proceedings of the Fourth BioCreative Challenge Evaluation Workshop, Bethesda, Maryland, USA, pages 61-67, 2013

Ananiadou, S., Sullivan, D., Black, W.J., Levow, G., Gillespie, J., Mao, C., Pyysalo, S., Kolluru, B., Tsujii, J. and Sobral, B., Named Entity Recognition for Bacterial Type IV Secretion Systems (2011), in: PLoS ONE, 6:3(e14780)

[DOI]
[URL]

Trieu, H-L., Miwa, M. and Ananiadou, S., Named Entity Recognition for Cancer Immunology Research Using Distant Supervision, in: Proceedings of BioNLP 2022, pages 171-177, 2022

[URL]

Tsujii, J., Natural Language Processing and Computational Linguistics (2021), in: Computational Linguistics, 47:4(707-727)

[DOI]
[URL]

Zhang, T., Schoene, A and Ananiadou, S., Natural Language Processing Applied to Mental Illness Detection: A Narrative Review (2022), in: n p j Digital Medicine, 5(46)

[DOI]
[URL]

Nawaz, R., Thompson, P. and Ananiadou, S., Negated BioEvents: Analysis and Identification (2013), in: BMC Bioinformatics, 14:1(14)

[DOI]
[URL]

Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, P., Da, L., Lin, K., Ananiadou, S. and Huang, J., Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer, in: Proceedings of SIGIR 2022, pages 353-362, 2022

[DOI]
[URL]

Wang, K., Stevens, R., Alachram, H., Li, Y., Soldatova, L. N., King, R. D., Ananiadou, S., Schoene, A, Li, M., Christopoulou, F., Ambite, J. L., Matthew, J., Garg, S., Hermjakob, U., Marcu, D., Sheng, E., Beissbarth, T., Wingender, E., Galstyan, A., Gao, X., Chambers, B., Pan, W., Khomtchouk, B. B., Evans, J. A. and Rzhetsky, A., NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding (2021), in: npj systems biology and applications, 7(38)

[DOI]
[URL]

Li, M. and Ananiadou, S., Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing

[DOI]
[URL]

Yu, Z. and Ananiadou, S., Neuron-Level Knowledge Attribution in Large Language Models, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3267–3280, 2024

[DOI]
[URL]

Oda, K., Kim, J.-D., Ohta, T., Okanohara, D., Matsuzaki, T., Tateisi, Y. and Tsujii, J., New challenges for text mining: Mapping between text and manually curated pathways (2008), in: BMC Bioinformatics, 9:Suppl 3(S5)

Pyysalo, S., Stenetorp, P., Ohta, T., Kim, J.-D. and Ananiadou, S., New Resources and Perspectives for Biomedical Event Extraction, in: Proceedings of BioNLP 2012, pages 100-108, 2012

[URL]

Thompson, P., Nawaz, R., Korkontzelos, I., Black, W.J., McNaught, J. and Ananiadou, S., News Search Using Discourse Analytics, in: Proceedings of the 2013 Digital Heritage International Congress, Marseille, France, pages 597-604, IEEE, 2013

[DOI]
[URL]

Dengel, A., Etzioni, O., DeCario, N., Hoos, H., Li, F. -F., Tsujii, J. and Traverso, P., Next Big Challenges in Core AI Technology, pages 90-115, Springer, 2021

[DOI]
[URL]

Hu, G., Qin, K., Yuan, C., Peng, M., Lopez-Lira, A., Wang, B., Ananiadou, S., Huang, J. and Xie, Q., No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks, arXiv, 2024

[URL]

Tsuruoka, Y., McNaught, J. and Ananiadou, S., Normalizing biomedical terms by minimizing ambiguity and variability (2008), in: BMC Bioinformatics, 9:Suppl 3(S2)

processing time: 0.0716 seconds.