Zobrazeno 1 - 10
of 541
pro vyhledávání: '"Stab A"'
Autor:
N.M. Daya, K. Döring, H. Zhuge, L. Volke, V. Stab, J. Dietz, M. Athamneh, A. Roos, H. Zaehres, A.K. Güttsches, L. Mavrommatis, M. Vorgerd
Publikováno v:
Stem Cell Research, Vol 76, Iss , Pp 103320- (2024)
Here we introduce the human induced pluripotent stem cell lines (hiPSCs), HIMRi004-A and HIMRi005-A from dermal fibroblasts of a 48-year-old female (HIMRi004-A) carrying missense mutation that translate to the first described filamin C isoform p.W271
Externí odkaz:
https://doaj.org/article/6486348008b54ad3bb217887cd2cfb21
Autor:
Karaboga, Sinan, Severac, Florence, Collins, Eva-Maria S., Stab, Aurélien, Davis, Audrey, Souchet, Michel, Hervé, Grégoire
Publikováno v:
In Journal of Hazardous Materials 15 May 2024 470
Autor:
Stab, Viktoria, Stahl-Hennig, Christiane, Ensser, Armin, Richel, Elie, Fraedrich, Kirsten, Sauermann, Ulrike, Tippler, Bettina, Klein, Florian, Burton, Dennis R., Tenbusch, Matthias, Überla, Klaus
Publikováno v:
In Cell Reports Medicine 17 October 2023 4(10)
Automated fact-checking based on machine learning is a promising approach to identify false information distributed on the web. In order to achieve satisfactory performance, machine learning methods require a large corpus with reliable annotations fo
Externí odkaz:
http://arxiv.org/abs/1911.01214
Autor:
Reimers, Nils, Schiller, Benjamin, Beck, Tilman, Daxenberger, Johannes, Stab, Christian, Gurevych, Iryna
We experiment with two recent contextualized word embedding methods (ELMo and BERT) in the context of open-domain argument search. For the first time, we show how to leverage the power of contextualized word embeddings to classify and cluster topic-d
Externí odkaz:
http://arxiv.org/abs/1906.09821
Autor:
Trautmann, Dietrich, Daxenberger, Johannes, Stab, Christian, Schütze, Hinrich, Gurevych, Iryna
Prior work has commonly defined argument retrieval from heterogeneous document collections as a sentence-level classification task. Consequently, argument retrieval suffers both from low recall and from sentence segmentation errors making it difficul
Externí odkaz:
http://arxiv.org/abs/1904.09688
Akademický článek
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Akademický článek
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Argumentation mining (AM) requires the identification of complex discourse structures and has lately been applied with success monolingually. In this work, we show that the existing resources are, however, not adequate for assessing cross-lingual AM,
Externí odkaz:
http://arxiv.org/abs/1807.08998
Argument mining is a core technology for automating argument search in large document collections. Despite its usefulness for this task, most current approaches to argument mining are designed for use only with specific text types and fall short when
Externí odkaz:
http://arxiv.org/abs/1802.05758