5 found
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  1.  45
    Recurrent Neural Network-Based Models for Recognizing Requisite and Effectuation Parts in Legal Texts.Truong-Son Nguyen, Le-Minh Nguyen, Satoshi Tojo, Ken Satoh & Akira Shimazu - 2018 - Artificial Intelligence and Law 26 (2):169-199.
    This paper proposes several recurrent neural network-based models for recognizing requisite and effectuation parts in Legal Texts. Firstly, we propose a modification of BiLSTM-CRF model that allows the use of external features to improve the performance of deep learning models in case large annotated corpora are not available. However, this model can only recognize RE parts which are not overlapped. Secondly, we propose two approaches for recognizing overlapping RE parts including the cascading approach which uses the sequence of BiLSTM-CRF models (...)
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  2.  26
    Automated Reference Resolution in Legal Texts.Oanh Thi Tran, Bach Xuan Ngo, Minh Le Nguyen & Akira Shimazu - 2014 - Artificial Intelligence and Law 22 (1):29-60.
    This paper investigates the task of reference resolution in the legal domain. This is a new interesting task in Legal Engineering research. The goal is to create a system which can automatically detect references and then extracts their referents. Previous work limits itself to detect and resolve references at the document targets. In this paper, we go a step further in trying to resolve references to sub-document targets. Referents extracted are the smallest fragments of texts in documents, rather than the (...)
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  3.  13
    Extracting Indices From Japanese Legal Documents.Tho Thi Ngoc Le, Kiyoaki Shirai, Minh Le Nguyen & Akira Shimazu - 2015 - Artificial Intelligence and Law 23 (4):315-344.
    This article addresses the problem of automatically extracting legal indices which express the important contents of legal documents. Legal indices are not limited to single-word keywords and compound-word keywords, they are also clause keywords. We approach index extraction using structural information of Japanese sentences, i.e. chunks and clauses. Based on the assumption that legal indices are composed of important tokens from the documents, extracting legal indices is treated as a problem of collecting chunks and clauses that contain as many important (...)
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  4.  8
    Towards Translation of Legal Sentences Into Logical Forms.Makoto Nakamura, Shunsuke Nobuoka & Akira Shimazu - 2008 - In Satoh (ed.), New Frontiers in Artificial Intelligence. Springer. pp. 349--362.
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  5.  10
    Treatment of Legal Sentences Including Itemized and Referential Expressions–Towards Translation Into Logical Forms.Yusuke Kimura, Makoto Nakamura & Akira Shimazu - 2009 - In Hattori (ed.), New Frontiers in Artificial Intelligence. Springer. pp. 242--253.
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