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Results: 119
Number of items: 119
  • Open Access
    Daza, D., Cochez, M., & Groth, P. (2021). Inductive entity representations from text via link prediction. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 798-808). Association for Computing Machinery. https://doi.org/10.1145/3442381.3450141
  • Brate, R., Groth, P., & van Erp, M. (2020). Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4199996
  • Koesten, L., Vougiouklis, P., Groth, P., & Simperl, E. (2020). Dataset Reuse Indicators Datasets [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4015955
  • Bos, H., Groth, P., & Stamatogiannakis, M. (2020). PANDAcap SSH Honeypot Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3759652
  • Open Access
    Stamatogiannakis, M., Bos, H., & Groth, P. (2020). PANDAcap: A framework for streamlining collection of full-system traces. In EuroSec 2020: proceedings of the 13th European Workshop on Systems Security : April 27, 2020, Heraklion, Crete, Greece (pp. 1-6). The Association for Computing Machinery. https://doi.org/10.1145/3380786.3391396
  • Open Access
    Brate, R., Groth, P., & van Erp, M. (2020). Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels. In S. DeGaetano, A. Kazantseva, N. Reiter, & S. Szpakowicz (Eds.), The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature: Co-located with the 28th International Conference on Computational Linguistics COLING’2020 : COLING 2020 : proceedings : December 12, 2020, Barcelona, Spain, (Online) (pp. 147-155). International Committee on Computational Linguistics. https://www.aclweb.org/anthology/2020.latechclfl-1.18
  • Open Access
    Groth, P., Cousijn, H., Clark, T., & Goble, C. (2020). FAIR Data Reuse – the Path through Data Citation. Data Intelligence, 2(1-2), 78-86. https://doi.org/10.1162/dint_a_00030
  • Open Access
    Gregory, K., Groth, P., Scharnhorst, A., & Wyatt, S. (2020). Lost or Found? Discovering Data Needed for Research. Harvard Data Science Review, 2(2.2). https://doi.org/10.1162/99608f92.e38165eb
  • Open Access
    Berger, M., Zavrel, J., & Groth, P. (2020). Effective distributed representations for academic expert search. In M. K. Chandrasekaran, A. de Waard, G. Feigenblat, D. Freitag, T. Ghosal, E. Hovy, P. Knoth, D. Konopnicki, P. Mayr, R. M. Patton, & M. Shmueli-Scheuer (Eds.), First Workshop on Scholarly Document Processing: EMNLP 2020 : proceedings of the workshop : November 19, 2020, Online (pp. 56-71). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.sdp-1.7
  • Open Access
    Selten, F., Neylon, C., Huang, C.-K., & Groth, P. (2020). A longitudinal analysis of university rankings. Quantitative Science Studies, 1(3), 1109-1135. https://doi.org/10.1162/qss_a_00052
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