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 (...) tokens as possible. Each token is assigned a weight which is a statistical score, e.g. TF–IDF and Okapi BM25, to indicate its importance. The importance of a chunk or clause is determined based on the average weight of tokens included in that chunk or clause. Then, highly weighted chunks and clauses are recognized as the indices for legal documents. The experimental results on Japanese National Pension Act data show that our proposed method achieves better performance than TextRank, the most popular unsupervised method in extracting single-word and compound-word keywords. In addition, this approach is also applicable to extract clause keywords with high performance. (shrink)

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 (...) entire documents that contain the referenced texts. Based on analyzing the characteristics of reference phenomena in legal texts, we propose a four-step framework to deal with the task: mention detection, contextual information extraction, antecedent candidate extraction, and antecedent determination. We also show how machine learning methods can be exploited in each step. The final system achieves 80.06 % in the F1 score for detecting references, 85.61 % accuracy for resolving them, and 67.02 % in the F1 score for the end-to-end setting task on the Japanese National Pension Law corpus. (shrink)

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 (...) and the unified model approach with the multilayer BiLSTM-CRF model and the multilayer BiLSTM-MLP-CRF model. Experimental results on two Japan law RRE datasets demonstrated advantages of our proposed models. For the Japanese National Pension Law dataset, our approaches obtained an \ score of 93.27% and exhibited a significant improvement compared to previous approaches. For the Japan Civil Code RRE dataset which is written in English, our approaches produced an \ score of 78.24% in recognizing RE parts that exhibited a significant improvement over strong baselines. In addition, using external features and in-domain pre-trained word embeddings also improved the performance of RRE systems. (shrink)

ポストモダン思想は教育学に何をもたらしたのか。戦後から現在に至る教育学の変遷と、ポストモダン以後の教育思想・教育哲学の新動向を描き出し、教育と教育学の未来を展望する。.

KM (Knowledge Management) systems have recently been adopted within the realm of enterprise management. On the other hand, data mining technology is widely acknowledged within Information systems' R&D Divisions. Specially, acquisition of meaningful information from Web usage data has become one of the most exciting eras. In this paper, we employ a Web based KM system and propose a framework for applying Web Usage Mining technology to KM data. As it turns out, task duration varies according to different user operations (...) such as referencing a table-of-contents page, down-loading a target file, and writing to a bulletin board. This in turn makes it possible to easily predict the purpose of the user's task. By taking these observations into account, we segmented access log data manually. These results were compared with results abstained by applying the constant interval method. Next, we obtained a segmentation rule of Web access logs by applying a machine-learning algorithm to manually segmented access logs as training data. Then, the newly obtained segmentation rule was compared with other known methods including the time interval method by evaluating their segmentation results in terms of recall and precision rates and it was shown that our rule attained the best results in both measures. Furthermore, the segmented data were fed to an association rule miner and the obtained association rules were utilized to modify the Web structure. (shrink)

In contemporary political philosophy, reflections on poverty demand careful treatment in the light of key ethical concepts—especially autonomy. While the negative effects of poverty on autonomy are acknowledged, the welfare dependency of the poor is seen as an autonomy-undermining factor, which I call the “autonomy–poverty dilemma.” This chapter discusses contemporary political theories about autonomy and poverty in terms of how they relate to this dilemma. The features and problems of three pertinent theories are addressed in such a way as to (...) resolve the autonomy–poverty dilemma. The first is luck egalitarianism, which weighs individual responsibility in defining just distributions, but may leave some of the incapacitated unattended in order not to annul their personal responsibility and may stigmatize those who are dependent (such as people with mental disabilities) who are not personally responsible. Such stigmatization is also a problem with relational egalitarianism, which bases egalitarian justice on the equal standing of individuals, in that the ideal of socially embedded autonomous agents could be degrading to the dependent. While the capability approach overcomes that problem by providing a powerful buttress for the dependent and allowing them to emerge from poverty, it runs the risk of a paternalistic, perfectionist idealism. In closing, this chapter proposes an alternative view, which I call the “radical pluralist view of egalitarian justice,” based on a consideration of the features and problems of these three key theories. (shrink)

In this article, we address the problem of how people understand predicative metaphors such as “The rumor flew through the office,” and argue that predicative metaphors are understood as indirect (or two-stage) categorizations. In the indirect categorization process, the verb (e.g., fly) of a predicative metaphor evokes an intermediate entity, which in turn evokes a metaphoric category of actions or states (e.g., “to spread rapidly and soon disappear”) to be attributed to the target noun (e.g., rumor), rather than directly evoking (...) a metaphoric category as argued by CitationGlucksberg's (2001) categorization theory. We test our argument using two experiments, namely, offline comprehension and online priming. The offline comprehension experiment showed that interpretation of predicative metaphors had greater overlap with words indirectly associated with the verb than those directly associated with the verb. The online priming experiment demonstrated that indirectly associated words were activated during predicative metaphor comprehension, but directly associated words were not. These results provide convergent evidence for our argument, and thus the psychological validity of two-stage categorization as a process of predicative metaphor comprehension was confirmed. (shrink)

The purpose of this paper is to show the plausibility of John Rawls’s treatment of efficiency within the system of justice. While in political philosophy efficiency is often treated as an independent condition for establishing justice, or more precisely, as a necessary condition for establishing justice, Rawls considers efficiency as a non-negligible factor that has normativity in general circumstances. This is similar to the view that efficiency is a presumptive condition for evaluating social arrangements. However, Rawls’s view is salient in (...) a more substantive way. This paper demonstrates the salience of Rawls’s view of efficiency by responding to G. A. Cohen’s Impure Justice Objection to Rawls’s theory of justice. This shows that there is no impure connection between Rawls’s justice and efficiency. Moreover, the combined thesis of Rawls’s justice and efficiency is superior to Cohen’s pluralist theory of justice, making it a fruitful approach. (shrink)

時間を超え、様々な遺物から過去の記憶を読みとり、未来に引き継ぐものとして、人文知の意義を問い直す。.

日本人が追求してきた「生き方と生活の美学」を古代から近世の日本文化に即して解き明かす、意欲的な日本論。.

一遍仏教やその周縁と対話し、無・型・身体性などを契機として日本独自の教育の構築を試みたユニークな教育再生論。.

Recent metaphor research has revealed that metaphor comprehension involves both categorization and comparison processes. This finding has triggered the following central question: Which property determines the choice between these two processes for metaphor comprehension? Three competing views have been proposed to answer this question: the conventionality view (Bowdle & Gentner, 2005), aptness view (Glucksberg & Haught, 2006b), and interpretive diversity view (Utsumi, 2007); these views, respectively, argue that vehicle conventionality, metaphor aptness, and interpretive diversity determine the choice between the categorization (...) and comparison processes. This article attempts to answer the question regarding which views are plausible by using cognitive modeling and computer simulation based on a semantic space model. In the simulation experiment, categorization and comparison processes are modeled in a semantic space constructed by latent semantic analysis. These two models receive word vectors for the constituent words of a metaphor and compute a vector for the metaphorical meaning. The resulting vectors can be evaluated according to the degree to which they mimic the human interpretation of the same metaphor; the maximum likelihood estimation determines which of the two models better explains the human interpretation. The result of the model selection is then predicted by three metaphor properties (i.e., vehicle conventionality, aptness, and interpretive diversity) to test the three views. The simulation experiment for Japanese metaphors demonstrates that both interpretive diversity and vehicle conventionality affect the choice between the two processes. On the other hand, it is found that metaphor aptness does not affect this choice. This result can be treated as computational evidence supporting the interpretive diversity and conventionality views. (shrink)

In the long run, changes in society, both local and global, are inevitable. What, then, is and should be the relation between a general theory of law and social change? In the 1995 Kobe Lecture in Japan, Josef Raz said, “By and large, only bad theory can lead to change.” But a ‘good theory’, intended only to describe the normative world and not directly to change it or society, enlightens us in a way that changes our outlook in one way (...) or another. As our picture of the world changes, to that extent the change will be reflected in our practice. The change in practice in turn will affect society bringing about its change in the long run. That change can be either what was intended by the theory or an unintended consequence of it, sometimes favorable and sometimes disastrous. A theory may change the course of things as well by putting a halt to change. But if we can tell in advance that the theory will not lead to any social change whatsoever, it only means that the theory is trivial, or valueless even as a description. (shrink)

法・正義・自由をめぐる根源的思考。法概念についての抽象的な議論から裁判員制度等の実践的な問題まで、法哲学が提起する思考のスタイル。.

It is often argued that relational egalitarianism has a fundamental problem with intergenerational justice when compared to other theories of justice such as utilitarianism, prioritarianism, and luck egalitarianism. Recently, Timothy Sommers argued that there is no such comparative disadvantage for relational egalitarianism. His argument is quite modest: it merely aims to reject the claim that there could be no way to extend relational egalitarianism to intergenerational justice. This may be called the ‘No Comparative Disadvantage Thesis’. The present article challenges Sommers’s (...) argument in two ways. First, I show that Sommers fails to provide a reasonable constraint on causal efficacy, which is crucial to his argument for our relation (not relationship) to future generations. Second, I show that the chain-relatedness problem casts a shadow over Sommers’s argument for the No Comparative Disadvantage Thesis. More specifically, compared to the other theories of justice, relational egalitarianism (as it stands) can less easily justify that present persons have duties to future others. This is because relational egalitarianism cannot appeal to a specific principle in regard to the duties in question, because its principle is sensitive to current context and practice. I conclude that the No Comparative Disadvantage Thesis does not hold much promise. (shrink)

The pervasive use of distributional semantic models or word embeddings for both cognitive modeling and practical application is because of their remarkable ability to represent the meanings of words. However, relatively little effort has been made to explore what types of information are encoded in distributional word vectors. Knowing the internal knowledge embedded in word vectors is important for cognitive modeling using distributional semantic models. Therefore, in this paper, we attempt to identify the knowledge encoded in word vectors by conducting (...) a computational experiment using Binder et al.'s (2016) featural conceptual representations based on neurobiologically motivated attributes. In an experiment, these conceptual vectors are predicted from text‐based word vectors using a neural network and linear transformation, and prediction performance is compared among various types of information. The analysis demonstrates that abstract information is generally predicted more accurately by word vectors than perceptual and spatiotemporal information, and specifically, the prediction accuracy of cognitive and social information is higher. Emotional information is also found to be successfully predicted for abstract words. These results indicate that language can be a major source of knowledge about abstract attributes, and they support the recent view that emphasizes the importance of language for abstract concepts. Furthermore, we show that word vectors can capture some types of perceptual and spatiotemporal information about concrete concepts and some relevant word categories. This suggests that language statistics can encode more perceptual knowledge than often expected. (shrink)

The two competing camps of theorists in moral psychology share one common view on the disagreement between their theories: moral foundations theory presupposes basic emotion theory, while dyadic morality theory presupposes constructionist theory of emotion. The paper challenges this common view. First, it reviews the four theories. Second, it clarifies the issue about the relation between the moral contents and emotions on which the two camps of moral-psychological theorists dispute. Third, it identifies the explananda for the moral-psychological theories, and examines (...) the two distinctive types of explanations that each of the two theories offers to them. Finally, it concludes that the deepest disagreement between the two morality theories consists in the role that the theories give to emotions in explaining moral judgments. (shrink)