Collaborative System for Question Answering in German Case Law Documents - Collaborative Networks in Digitalization and Society 5.0 Access content directly
Conference Papers Year : 2022

Collaborative System for Question Answering in German Case Law Documents

Abstract

Legal systems form the foundation of democratic states. Nevertheless, it is nearly impossible for individuals to extract specific information from comprehensive legal documents. We present a human-centered and AI-supported system for semantic question answering (QA) in the German legal domain. Our system is built on top of human collaboration and natural language processing (NLP)-based legal information retrieval. Laypersons and legal professionals re ceive information supporting their research and decision-making by collaborating with the system and its underlying AI methods to enable a smarter society. The internal AI is based on state-of-the-art methods evaluating complex search terms, considering words and phrases specific to German law. Subsequently, relevant documents or answers are ranked and graphically presented to the human. In ad dition to the novel system, we publish the first annotated data set for QA in the German legal domain. The experimental results indicate that our semantic QA workflow outperforms existing approaches.
Embargoed file
Embargoed file
0 5 16
Year Month Jours
Avant la publication
Wednesday, January 1, 2025
Embargoed file
Wednesday, January 1, 2025
Please log in to request access to the document

Dates and versions

hal-04642042 , version 1 (09-07-2024)

Licence

Identifiers

Cite

Christoph Hoppe, Nico Migenda, David Pelkmann, Daniel Hötte, Wolfram Schenck. Collaborative System for Question Answering in German Case Law Documents. 23th Working Conference on Virtual Enterprises (PRO-VE), Sep 2022, Lisbon, Portugal. pp.303-312, ⟨10.1007/978-3-031-14844-6_24⟩. ⟨hal-04642042⟩
0 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More