The goal of this thesis is to extract semantic metadata from legal texts via Natural Language Processing (NLP). Tasks include (1) building a natural-language-processing-pipeline consisting of Tokenizer, Sentence Splitter, Part-of-Speech Tagger, Named-entity Recognizer, Constituency Parser
Supervisor: Michael Felderer