Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Robin Stenzel"'
Autor:
Robin Stenzel, Anna Ladi, Maren Pielka, Lars Patrick Hillebrand, Rajkumar Ramamurthy, David Biesner, Rafet Sifa, Christian Bauckhage, Rüdiger Loitz, Max Lübbering
Publikováno v:
International Journal of Data Science and Analytics. 13:151-161
The automatization and digitalization of business processes have led to an increase in the need for efficient information extraction from business documents. However, financial and legal documents are often not utilized effectively by text processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c1fd5bdd9cd4049144e03f743acbe11
https://doi.org/10.1007/s41060-021-00285-x
https://doi.org/10.1007/s41060-021-00285-x
Autor:
Clayton Leroy Chapman, Lars Hillebrand, Marc Robin Stenzel, Tobias Deußer, David Biesner, Christian Bauckhage, Rafet Sifa
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031144622
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3ae9f6f7ad6775d6f3548f458d984c7
https://doi.org/10.1007/978-3-031-14463-9_14
https://doi.org/10.1007/978-3-031-14463-9_14
Autor:
Rafet Sifa, Christian Bauckhage, Tobias Deusser, Marc Robin Stenzel, Lars Hillebrand, Clayton Chapman
Financial reports are commonplace in the business world, but are long and tedious to produce. These reports mostly consist of tables with written sections describing these tables. Automating the process of creating these reports, even partially has t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::511a4eb846de609922ab61989d379b7e
https://doi.org/10.36227/techrxiv.17102522.v1
https://doi.org/10.36227/techrxiv.17102522.v1
Autor:
Robin Stenzel, Rafet Sifa, Tim Dilmaghani Khameneh, Ulrich Warning, Christian Bauckhage, Maren Pielka, Rajkumar Ramamurthy, Rüdiger Loitz, Bernd Kliem
Publikováno v:
DocEng
We consider Automated List Inspection (ALI), a content-based text recommendation system that assists auditors in matching relevant text passages from notes in financial statements to specific law regulations. ALI follows a ranking paradigm in which a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf28ea530d9e2f91a2dc4f3914c22a08
https://doi.org/10.1145/3469096.3474928
https://doi.org/10.1145/3469096.3474928
Autor:
Anna Ladi, Thiago Bell, Ilgar Huseynov, Rajkumar Ramamurthy, Lars Patrick Hillebrand, Benedikt Fürst, Birgit Kirsch, Daniel Thom, Max Lübbering, Christian Bauckhage, David Biesner, Hisham Ismail, Bernd Kliem, Maren Pielka, Tim Dilmaghani Khameneh, Roland Kahlert, Jennifer Schlums, Ulrich Nütten, Rüdiger Loitz, Ulrich Warning, Robin Stenzel, Rafet Sifa
Publikováno v:
DocEng
We present the Automated List Inspection (ALI) tool that utilizes methods from machine learning, natural language processing, combined with domain expert knowledge to automate financial statement auditing. ALI is a content based context-aware recomme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbcf14664c4b0f63c311473d09cc1fcd
https://doi.org/10.1145/3342558.3345421
https://doi.org/10.1145/3342558.3345421
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions ISBN: 9783030304928
ICANN (Workshop)
ICANN (Workshop)
This paper explores a simple method for obtaining contextual word representations. Recently, it was shown that random sentence representations obtained from echo state networks (ESNs) were able to achieve near state-of-the-art results in several sequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0767973b6230f18a8caa9cfcfd241304
https://doi.org/10.1007/978-3-030-30493-5_11
https://doi.org/10.1007/978-3-030-30493-5_11
Autor:
Robin Stenzel
Bachelorarbeit aus dem Jahr 2018 im Fachbereich Jura - Strafrecht, Note: 1,7, Fachhochschule für öffentliche Verwaltung Nordrhein-Westfalen; Münster, Sprache: Deutsch, Abstract: In dieser Arbeit sollen zum einen die politischen Aspekte mit einem F
Autor:
Biesner, David, Ramamurthy, Rajkumar, Stenzel, Robin, Lübbering, Max, Hillebrand, Lars, Ladi, Anna, Pielka, Maren, Loitz, Rüdiger, Bauckhage, Christian, Sifa, Rafet
Publikováno v:
International Journal of Data Science & Analytics; Mar2022, Vol. 13 Issue 2, p151-161, 11p
Autor:
Verelst, Karin1 kverelst@vub.ac.be
Publikováno v:
Foundations of Science. Sep2008, Vol. 13 Issue 3/4, p347-370. 24p. 6 Diagrams.