@inproceedings{a06f3c2aa107482c81c94acaaefca917,
title = "Translating simple legal text to formal representations",
abstract = "Various logical representations and frameworks have been proposed for reasoning with legal information. These approaches assume that the legal text has already been translated to the desired formal representation. However, the approaches for translating legal text into formal representations have mostly focused on inferring facts from text or translating it to a single representation. In this work, we use the NL2KR system to translate legal text into a wide variety of formal representations. This will enable the use of existing logical reasoning approaches on legal text (English), thus allowing reasoning with text.",
keywords = "Natural language processing, Natural language translation, Natural language understanding",
author = "Shruti Gaur and Vo, {Nguyen H.} and Kazuaki Kashihara and Chitta Baral",
note = "Funding Information: We thank Arindam Mitra and Somak Aditya for their work in developing the L-Parser. We thank NSF for the DataNet Federation Consortium grant OCI-0940841 and ONR for their grant N00014-13-1-0334 for partially supporting the development of NL2KR. Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; 6th International Symposium on Artificial Intelligence, JSAI 2014 ; Conference date: 27-10-2014 Through 28-10-2014",
year = "2015",
doi = "10.1007/978-3-662-48119-6_19",
language = "English (US)",
isbn = "9783662481189",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "259--273",
editor = "Tsuyoshi Murata and Koji Mineshima and Daisuke Bekki",
booktitle = "New Frontiers in Artificial Intelligence - JSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Revised Selected Papers",
}