23 citations · 30 across the 4 of their papers we have counts for
4 papers
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts
Hannes Westermann, Jaromir Savelka, Vern R. Walker +2
We propose an adaptive environment (CABINET) to support caselaw analysis (identifying key argument elements) based on a novel cognitive computing framework that carefully matches v…
Data-Centric Machine Learning in the Legal Domain
Hannes Westermann, Jaromir Savelka, Vern R. Walker +2
Machine learning research typically starts with a fixed data set created early in the process. The focus of the experiments is finding a model and training procedure that result in…
Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents
Hannes Westermann, Jaromir Savelka, Vern R. Walker +2
Human-performed annotation of sentences in legal documents is an important prerequisite to many machine learning based systems supporting legal tasks. Typically, the annotation is…
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain
Hannes Westermann, Jaromir Savelka, Vern R. Walker +2
In this paper, we present a method of building strong, explainable classifiers in the form of Boolean search rules. We developed an interactive environment called CASE (Computer As…