13 found
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  1.  23
    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.  32
    Event, State, and Process in Arrow Logic.Satoshi Tojo - 1999 - Minds and Machines 9 (1):81-103.
    Artificial agents, which are embedded in a virtual world, need to interpret a sequence of commands given to them adequately, considering the temporal structure for each command. In this paper, we start with the semantics of natural language and classify the temporal structures of various eventualities into such aspectual classes as action, process, and event. In order to formalize these temporal structures, we adopt Arrow Logic. This logic specifies the domain for the valuation of a sentence as an arrow. We (...)
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  3.  9
    Dynamic Epistemic Logic of Belief Change in Legal Judgments.Pimolluck Jirakunkanok, Katsuhiko Sano & Satoshi Tojo - 2018 - Artificial Intelligence and Law 26 (3):201-249.
    This study realizes belief/reliability change of a judge in a legal judgment by dynamic epistemic logic. A key feature of DEL is that possibilities in an agent’s belief can be represented by a Kripke model. This study addresses two difficulties in applying DEL to a legal case. First, since there are several methods for constructing a Kripke model, our question is how we can construct the model from a legal case. Second, since this study employs several dynamic operators, our question (...)
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  4.  23
    Similarity of Legal Cases: From Temporal Relations of Affairs. [REVIEW]Satoshi Tojo & Katsumi Nitta - 1997 - Artificial Intelligence and Law 5 (1-2):161-176.
    Case-based reasoning has played an important role in legal reasoning systems. As one criteria for similarity of cases, temporal relationsamong affairs in legal cases should be compared. Thus far in many legalreasoning systems, cases have been described as sequences of pointwiseevents, or at best, simple time intervals, and they have been related bypredicates such as before, after, while,and so on. However, such relations may depend on each implementer'spersonal view, and also require much labor to write down by hand. In this (...)
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  5.  11
    Dynamic Epistemic Logic for Channel-Based Agent Communication.Katsuhiko Sano & Satoshi Tojo - 2013 - In Kamal Lodaya (ed.), Logic and its Applications. Springer. pp. 109--120.
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  6.  7
    Fusion of Pedigreed Preferential Relations as Beliefs.Yoshitaka Suzuki & Satoshi Tojo - 2004 - Transactions of the Japanese Society for Artificial Intelligence 19:57-67.
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  7.  7
    Many-Dimensional Modal Logic of Tense and Temporal Interval and its Decidability.Suguru Yoshioka & Satoshi Tojo - 2006 - Transactions of the Japanese Society for Artificial Intelligence 21:257-265.
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  8.  9
    First International Workshop on Juris-Informatics.Katsumi Nitta, Ken Satoh & Satoshi Tojo - 2008 - In Satoh (ed.), New Frontiers in Artificial Intelligence. Springer. pp. 347--348.
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  9.  5
    Agent Communication for Dynamic Belief Update.Mikito Kobayashi & Satoshi Tojo - 2009 - Transactions of the Japanese Society for Artificial Intelligence 24:314-321.
  10.  4
    Efficient Local Search Limitation Strategies in Memetic Algorithm.Yuichi Nagata, Shigenobu Kobayashi & Satoshi Tojo - 2010 - Transactions of the Japanese Society for Artificial Intelligence 25 (2):299-310.
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  11.  4
    Overview of JURISIN 2008.Katsumi Nitta, Ken Satoh & Satoshi Tojo - 2009 - In Hattori (ed.), New Frontiers in Artificial Intelligence. Springer. pp. 211--212.
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  12.  3
    Verification of Legal Knowledge-Base with Conflictive Concept.Shingo Hagiwara & Satoshi Tojo - 2009 - Transactions of the Japanese Society for Artificial Intelligence 24:405-416.
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  13.  2
    Analysis of Foreign Exchange Interventions by Intervention Agent with an Artificial Market Approach.Hiroki Matsui & Satoshi Tojo - 2005 - Transactions of the Japanese Society for Artificial Intelligence 20:36-45.
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