Predicting Semantic Labels of Text Regions in Heterogeneous Document Images

Somto Enendu, Jan Scholtes, Jeroen Smeets, Djoerd Hiemstra, M. Theune

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Original languageEnglish
Title of host publicationProceedings of the 15th Conference on Natural Language Processing, KONVENS 2019: Bridging the gap between NLP and human understanding - Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Pages203-211
Number of pages9
Publication statusPublished - 9 Oct 2019
EventConference on Natural Language Processing (“Konferenz zur Verarbeitung natürlicher Sprache): Bridging the gap between NLP and human understanding - Friedrich-Alexander-Universität Erlangen, Erlangen-Nurnberg, Germany
Duration: 9 Oct 201911 Oct 2019
Conference number: 15

Conference

ConferenceConference on Natural Language Processing (“Konferenz zur Verarbeitung natürlicher Sprache)
Abbreviated titleKONVENS 2019
CountryGermany
CityErlangen-Nurnberg
Period9/10/1911/10/19

Cite this

Enendu, S., Scholtes, J., Smeets, J., Hiemstra, D., & Theune, M. (2019). Predicting Semantic Labels of Text Regions in Heterogeneous Document Images. In Proceedings of the 15th Conference on Natural Language Processing, KONVENS 2019: Bridging the gap between NLP and human understanding - Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (pp. 203-211)