Ananiadou, S. - NaCTeM Publications

ANSICHT
EXPORT
- Alle Publikationen exportieren
- Autor exportieren
SORTIERE NACH
- Autor
- Titel
- Typ/Zeitschrift
- Jahr
- Erstelldatum
SYSTEM
- Hilfe
- Über diese Seite
GASTNUTZER
Guest
ANMELDUNG
Name:

Passwort:

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

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

MihÄƒilÄƒ, C., Batista-Navarro, R., Alnazzawi, N., Kontonatsios, G., Korkontzelos, I., Rak, R., Thompson, P. und Ananiadou, S., Mining the biomedical literature, in: Healthcare Data Analytics, Seiten 251-308, CRC Press, 2015

[URL]

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]

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

Przybyɫa, P., Nguyen, N. T. H., Shardlow, M., Kontonatsios, G. und 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), Seiten 614-620, 2016

[URL]

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

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

[URL]

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

[URL]

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

Ananiadou, S., Sullivan, D., Black, W.J., Levow, G., Gillespie, J., Mao, C., Pyysalo, S., Kolluru, B., Tsujii, J. und 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. und Ananiadou, S., Named Entity Recognition for Cancer Immunology Research Using Distant Supervision, in: Proceedings of BioNLP 2022, Seiten 171-177, 2022

[URL]

Zhang, T., Schoene, A und 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. und 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. und Huang, J., Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer, in: Proceedings of SIGIR 2022, Seiten 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. und 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. und Ananiadou, S., Neural Architectures for Aggregating Sequence Labels from Multiple Annotators (2022), in: Neurocomputing

[DOI]
[URL]

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

[DOI]
[URL]

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

[URL]

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

[DOI]
[URL]

Hu, G., Qin, K., Yuan, C., Peng, M., Lopez-Lira, A., Wang, B., Ananiadou, S., Huang, J. und 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. und Ananiadou, S., Normalizing biomedical terms by minimizing ambiguity and variability (2008), in: BMC Bioinformatics, 9:Suppl 3(S2)

Leroi, A. M., Lambert, B. C., Mauch, M., Papadopoulou, M., Ananiadou, S., Lindberg, S. I. I. und Lindenfors, P., On Revolutions (2018), in: V-Dem Working Paper(63)

[DOI]
[URL]

Leroi, A. M., Lambert, B. C., Mauch, M., Papadopoulou, M., Ananiadou, S., Lindberg, S. I. I. und Lindenfors, P., On revolutions (2020), in: Palgrave Communications, 6(4)

[DOI]
[URL]

Tran, T. T., Le, P. und Ananiadou, S., One-shot to Weakly-Supervised Relation Classification using Language Models, in: Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

[URL]

Kim, J.-D., Ananiadou, S. und Tsujii, J., Ontology based Semantic Annotation for Knowledge Extraction, in: 2nd International Digital Curation Conference, 2006

Ohta, T., Pyysalo, S., Tsujii, J. und Ananiadou, S., Open-domain Anatomical Entity Mention Detection, in: Proceedings of the ACL Workshop on Detecting Stucture in Scholarly Discourse (DSSD), Seiten 27-36, 2012

[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 |

Ausführdauer: 0.0970 Sekunden.