bookmarks (hide)340
- A classification of all possible chart types classified following the input data format.
- Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
publications (hide)1362
- DARIAH-DE Working Papers (2018)
- Zeitschrift für Literaturwissenschaft und Linguistik 1 (47): 7--27 (2017)
- Digital Scholarship in the Humanities 32 (suppl\_2): ii4--ii16 (2017)
- The Shape of Data in the Digital Humanities , Routledge, (2018)
- DHd 2019. Digital Humanities: multimedial & multimodal. Konferenzabstracts , page 270--273. (2019)
- Proceedings of the Workshop on Computational Humanities Research (CHR 2020), Amsterdam, The Netherlands, November 18-20, 2020 , volume 2723 of CEUR Workshop Proceedings, page 248--256. CEUR-WS.org, (2020)
- DHd , (2020)
- Proceedings of the The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature , page 112--120. Online, International Committee on Computational Linguistics, (December 2020)
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , page 2978--2988. Florence, Italy, Association for Computational Linguistics, (July 2019)
- IJCAI , page 3182-3188. ijcai.org, (2017)
- (2022)
- (2022)
- (2020)cite arxiv:2010.10906Comment: Accepted by COLING2020.
- Computational Linguistics 41 (3): 437--479 (2015)
- (January 2021)
- Cornell University Press, (1983)
- Shared Task on Scene Segmentation , (2021)
- Shared Task on Scene Segmentation , (2021)
- Shared Task on Scene Segmentation , (2021)
- Shared Task on Scene Segmentation , (2021)
