论文信息 - Semantic Text Matching of Contract Clauses and Legal Comments in Tenancy Law

Semantic Text Matching of Contract Clauses and Legal Comments in Tenancy Law

Research Associates, Technical University of Munich, Department of Informatics, Software Engineering for Business Information Systems, Boltzmannstraße 3, 85748 Garching bei München, DE, joerg.landthaler@tum.de, elena.scepankova@tum.de, ingo.glaser@tum.de; http://wwwmatthes.in.tum.de Rechtsanwalt, Produktmanager der Zielgruppe Rechtsanwälte, Haufe-Lexware GmbH & Co. KG, Fraunhoferstr. 5, 82152 Planegg/München, DE, hans.lecker@haufe-lexware.com; http://www.haufe-lexware.com Professor, Technical University of Munich, Department of Informatics, Software Engineering for Business Information Systems, Boltzmannstraße 3, 85748 Garching bei München, DE, matthes@in.tum.de; http://wwwmatthes.in.tum.de

Florian Matthes | Elena Scepankova | Jörg Landthaler | Ingo Glaser | Hans Lecker

[1] Graeme Hirst,et al. Argumentation Mining in Parliamentary Discourse , 2015, PRIMA Workshops.

[2] Florian Matthes,et al. Extending Full Text Search for Legal Document Collections Using Word Embeddings , 2016, JURIX.

[3] Mitesh M. Khapra,et al. Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection , 2015, EMNLP.

[4] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[5] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[6] Florian Matthes,et al. Differentiation and Empirical Analysis of Reference Types in Legal Documents , 2016, JURIX.