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Results: 122
Number of items: 122
  • 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
  • Open Access
    den Boef, J. B., Cornelisse, J., & Groth, P. (2021). GraphPOPE: Retaining structural graph information using position-aware node embeddings. In M. Alam, D. Buscaldi, M. Cochez, F. Osborne, D. Reforgiato Recupero, & H. Sack (Eds.), Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021): co-located with the 20th International Semantic Web Conference (ISWC 2021) : Virtual Conference, online, October 25, 2021 Article 3 (CEUR Workshop Proceedings; Vol. 3034). CEUR-WS. http://ceur-ws.org/Vol-3034/paper3.pdf
  • Open Access
    West, R., Bhagat, S., Groth, P., Zitnik, M., Couto, F. M., Lisena, P., Meroño-Peñuela, A., Zhao, X., Fan, W., Yin, D., Tang, J., Shou, L., Gong, M., Pei, J., Geng, X., Zhou, X., Jiang, D., Ricaud, B., Aspert, N., ... Sephus, N. (2021). Summary of Tutorials at The Web Conference 2021. In The Web Conference 2021: companion of the World Wide Web Conference WWW 2021: April 19-23, 2021, Ljubljana, Slovenia (pp. 727–733). Association for Computing Machinery. https://doi.org/10.1145/3442442.3453701
  • Open Access
    Hendriks, B., Groth, P., & van Erp, M. (2021). Recognizing and Linking Entities in Old Dutch Text: A Case Study on VOC Notary Records. In A. Weber, M. Heerlien, E. Gassó Miracle, & K. Wolstencroft (Eds.), Proceedings of the International Conference Collect and Connect: Archives and Collections in a Digital Age: Leiden, the Netherlands, November 23-24, 2020 (pp. 25-36). (CEUR Workshop Proceedings; Vol. 2810). CEUR-WS. http://ceur-ws.org/Vol-2810/paper3.pdf
  • 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
    Gregory, K. M., Cousijn, H., Groth, P., Scharnhorst, A., & Wyatt, S. (2020). Understanding data search as a socio-technical practice. Journal of Information Science, 46(4), 459-475. https://doi.org/10.1177/0165551519837182
  • Open Access
    Chapman, A., Simperl, E., Koesten, L., Konstantinidis, G., Ibáñez, L.-D., Kacprzak, E., & Groth, P. (2020). Dataset search: a survey. The VLDB Journal, 29(1), 251-272. https://doi.org/10.1007/s00778-019-00564-x
  • 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
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