Structured Extraction of Terms and Conditions from German and English Online Shops

Tobias Schamel, Daniel Braun, Florian Matthes

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

1 Citation (Scopus)
11 Downloads (Pure)


The automated analysis of Terms and Conditions has gained attention in recent years, mainly due to its relevance to consumer protection. Well-structured data sets are the base for every analysis. While content extraction, in general, is a well-researched field and many open source libraries are available, our evaluation shows, that existing solutions cannot extract Terms and Conditions in sufficient quality, mainly because of their special structure. In this paper, we present an approach to extract the content and hierarchy of Terms and Conditions from German and English online shops. Our evaluation shows, that the approach outperforms the current state of the art. A python implementation of the approach is made available under an open license.
Original languageEnglish
Title of host publicationProceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5)
EditorsShervin Malmasi, Oleg Rokhlenko, Nicola Ueffing, Ido Guy, Eugene Agichtein, Surya Kallumadi
Place of PublicationDublin, Ireland
PublisherAssociation for Computational Linguistics (ACL)
Number of pages10
ISBN (Electronic)978-1-955917-35-3
Publication statusPublished - 1 May 2022
EventThe 5th Workshop on e-Commerce and NLP, ECNLP 2022 - Dublin, Ireland
Duration: 26 May 202226 May 2022


WorkshopThe 5th Workshop on e-Commerce and NLP, ECNLP 2022
Abbreviated titleECNLP 2022

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