Thompson, P. - 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):	P.
Nachname(n):	Thompson

| 1-25 | 26-50 | 51-64 |

Ananiadou, S., Thompson, P. und Nawaz, R., Mining events from the literature for bioinformatics applications (2013), in: ACM SIGWEB Newsletter, Autumn 2013

[URL]

Ananiadou, S., Thompson, P., Kano, Y., McNaught, J., Attwood, T. K., Day, P. J. R., Keane, J., Jackson, D. und Pettifer, S., Towards Interoperability of European Language Resources (2011), in: Ariadne, 67

[URL]

Miwa, M., Thompson, P. und Ananiadou, S., Boosting automatic event extraction from the literature using domain adaptation and coreference resolution (2012), in: Bioinformatics, 28:13(1759-1765)

[DOI]
[URL]

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

[DOI]
[URL]

Miwa, M., Thompson, P., McNaught, J., Kell, D. B. und Ananiadou, S., Extracting semantically enriched events from biomedical literature (2012), in: BMC Bioinformatics, 13(108)

[DOI]
[URL]

Thompson, P., Nawaz, R., McNaught, J. und Ananiadou, S., Enriching a biomedical event corpus with meta-knowledge annotation (2011), in: BMC Bioinformatics, 12(393)

[DOI]
[URL]

Thompson, P., McNaught, J., Montemagni, S., Calzolari, N., del Gratta, R., Lee, V., Marchi, S., Monachini, M., Pezik, P., Quochi, V., Rupp, C. J., Sasaki, Y., Venturi, G., Rebholz-Schuhmann, D. und Ananiadou, S., The BioLexicon: a large-scale terminological resource for biomedical text mining (2011), in: BMC Bioinformatics, 12(397)

[DOI]
[URL]

Thompson, P., Iqbal, S. A., McNaught, J. und Ananiadou, S., Construction of an annotated corpus to support biomedical information extraction (2009), in: BMC Bioinformatics, 10(349)

[URL]

Shardlow, M., Batista-Navarro, R., Thompson, P., Nawaz, R., McNaught, J. und Ananiadou, S., Identification of Research Hypotheses and New Knowledge from Scientific Literature (2018), in: BMC Medical Informatics and Decision Making, 18(46)

[DOI]
[URL]

Alnazzawi, N., Thompson, P., Batista-Navarro, R. und Ananiadou, S., Using text mining techniques to extract phenotypic information from the PhenoCHF corpus (2015), in: BMC Medical Informatics and Decision Making, 15:Suppl. 2(S3)

[DOI]
[URL]

Ananiadou, S., Thompson, P., Nawaz, R., McNaught, J. und Kell, D. B., Event Based Text Mining for Biology and Functional Genomics (2014), in: Briefings in Functional Genomics, 14:3(213-230)

[DOI]
[URL]

Liu, Z., Zhang, T., Yang, K, Thompson, P., Yu, Z. und Ananiadou, S., Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300)

[DOI]

Liu, B, Schlegel, V., Thompson, P., Batista-Navarro, R. und 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]

Nawaz, R., Thompson, P. und Ananiadou, S., Something old, something new: identifying knowledge source in bio-events (2013), in: International Journal of Computational Linguistics and Applications, 4:1(129-144)

[URL]

Nawaz, R., Thompson, P. und Ananiadou, S., Towards Event-based Discourse Analysis of Biomedical Text (2013), in: International Journal of Computational Linguistics and Applications, 4:2(101-120)

[URL]

Ju., M., Short, A.D., Thompson, P., Bakerly, N. D., Gkoutos, G., Tsaprouni, L. und Ananiadou, S., Annotating and Detecting Phenotypic Information for Chronic Obstructive Pulmonary Disease (2019), in: JAMIA Open, 2:2(261-271)

[DOI]
[URL]

Kontonatsios, G., Korkontzelos, I., Kolluru, B., Thompson, P. und Ananiadou, S., Deploying and Sharing U-Compare Workflows as Web Services (2013), in: Journal of Biomedical Semantics, 4(7)

[DOI]
[URL]

Thompson, P., Daikou, S., Ueno, K., Batista-Navarro, R., Tsujii, J. und Ananiadou, S., Annotation and Detection of Drug Effects in Text for Pharmacovigilance (2018), in: Journal of Cheminformatics, 10(37)

[DOI]
[URL]

Thompson, P., Nawaz, R., McNaught, J. und Ananiadou, S., Enriching News Events with Meta-knowledge Information (2016), in: Language Resources and Evaluation, 51:2(409-438)

[DOI]
[URL]

Rehm, G., Uszkoreit, H., Ananiadou, S., Bel, N., Bieleviciene, A., Borin, L., Branco, A., Budin, G., Calzolari, N., Daelemans, W., Garabik, R., Grobelnik, M., Garcia-Mateo, C., Van Genabith, J., Hajic, J., Hernaez, I., Judge, J., Koeva, S., Krek, S., Krstev, C., Linden, K., Magnini, B., Mariani, J., McNaught, J., Melero, M., Monachini, M., Moreno, A., Odijk, J., Ogrodniczuk, M., Pezik, P., Piperidis, S., Przepiorkowski, A., Rognvaldsson, E., Rosner, M., Pedersen, B., Skadina, I., De Smedt, K., Tadic, M., Thompson, P., Tufis, D., Varadi, T., Vasiljevs, A., Vider, K. und Zabarskaite, J., The strategic impact of META-NET on the regional, national and international level (2016), in: Language Resources and Evaluation, 50:2(351-374)

[DOI]
[URL]

Ananiadou, S., Thompson, P., Thomas, J., Mu, T., Oliver, S., Rickinson, M., Sasaki, Y., Weissenbacher, D. und McNaught, J., Supporting the Education Evidence Portal via Text Mining (2010), in: Philosophical Transactions of the Royal Society A, 368:1925(3829-3844)

[DOI]
[URL]

Alnazzawi, N., Thompson, P. und Ananiadou, S., Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource (2016), in: PLOS ONE, 11:9(e0162287)

[DOI]
[URL]

Thompson, P., Batista-Navarro, R., Kontonatsios, G., Carter, J., Toon, E., McNaught, J., Timmermann, C., Worboys, M. und Ananiadou, S., Text Mining the History of Medicine (2016), in: PLOS One, 11:1(e0144717)

[DOI]
[URL]

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

[DOI]
[URL]

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

[DOI]
[URL]

| 1-25 | 26-50 | 51-64 |

Ausführdauer: 0.0950 Sekunden.