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 |

Liu, Z., Liu, B, Thompson, P., Yang, K, Jain, R. und Ananiadou, S., ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, arXiv, 2024

[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]

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]

Inan, E., Thompson, P., Yates, T. und Ananiadou, S., HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), Seiten 514-519, 2021

[URL]

Thompson, P., Yates, T., Inan, E. und Ananiadou, S., Semantic Annotation for Improved Safety in Construction Work, in: Proceedings of LREC 2020, Seiten 1983‑1992, 2020

[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]

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. 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]

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]

Thompson, P. und Ananiadou, S., Extracting Gene-Disease Relations from Text to Support Biomarker Discovery, in: Proceedings of the 7th International conference on Digital Health, Seiten 180-189, 2017

[DOI]
[URL]

Ananiadou, S. und Thompson, P., Supporting Biological Pathway Curation Through Text Mining, in: Data Analytics and Management in Data Intensive Domains, Seiten 59-73, Springer, 2017

[DOI]
[URL]

Thompson, P., Boylan, K., Freemont, A. und Ananiadou, S., Supporting biomarker discovery using text mining, in: Proceedings of Informatics for Health 2017, 2017

[URL]

Thompson, P., Ananiadou, S. und Tsujii, J., The GENIA Corpus: Annotation Levels and Applications, in: Handbook of Linguistic Annotation, Seiten 1395-1432, Springer, 2017

[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]

Korkontzelos, I., Thompson, P. und Ananiadou, S., Identifying content types of messages related to Open Source Software projects, in: Proceedings of LREC 2016, Seiten 1837-1844, 2016

[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]

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]

Thompson, P., McNaught, J. und Ananiadou, S., Customised OCR Correction for Historical Medical Text, in: Proceedings of DigitalHeritage 2015, Seiten 35 - 42, 2015

[DOI]
[URL]

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]

Thompson, P., Carter, J., McNaught, J. und Ananiadou, S., Semantically Enhanced Search System for Historical Medical Archives, in: Proceedings of DigitalHeritage 2015, Seiten 387 - 390, 2015

[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]

Kontonatsios, G., MihÄƒilÄƒ, C., Korkontzelos, I., Thompson, P. und Ananiadou, S., A hybrid approach to compiling bilingual dictionaries of medical terms from parallel corpora, in: Statistical Language and Speech Processing, Second International Conference, SLSP 2014, Seiten 57-69, Springer, 2014

[DOI]

Alnazzawi, N., Thompson, P. und Ananiadou, S., Building a semantically annotated corpus for congestive heart and renal failure from clinical records and the literature, in: Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi), Gothenburg, Sweden, Seiten 69-74, Association for Computational Linguistics, 2014

[URL]

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

Ausführdauer: 0.0840 Sekunden.