New frontiers in artificial intelligence : JSAI-isAI 2015 workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Tsukuba, Tokyo, November 13-15, 2017, revised selected papers

This book constitutes extended, revised and selected papers from the 9 th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2017. It was held in November 2017 in Tokyo, Japan. The 22 papers were carefully selected from 109 submissions and are organized in sections on juris-informatics, skill science, artificial intelligence of and for business, logic and engineering of natural language semantics, argument for agreement and assurance, scientific document analysis, knowledge explication for industry. Front Matter ....Pages I-XV Front Matter ....Pages 1-3 Analysis of COLIEE Information Retrieval Task Data (Masaharu Yoshioka)....Pages 5-19 From Case Law to Ratio Decidendi (Josef Valvoda, Oliver Ray)....Pages 20-34 Textual Entailment in Legal Bar Exam Question Answering Using Deep Siamese Networks (Mi-Young Kim, Yao Lu, Randy Goebel)....Pages 35-48 Front Matter ....Pages 49-50 A Study on Intellectual Tasks Influenced by the Embodied Knowledge (Itsuki Takiguchi, Akinori Abe)....Pages 51-62 Front Matter ....Pages 63-66 Agent-Based Simulation for Evaluating Signage System in Large Public Facility Focusing on Information Message and Location Arrangement (Eriko Shimada, Shohei Yamane, Kotaro Ohori, Hiroaki Yamada, Shingo Takahashi)....Pages 67-82 Developing an Input-Output Table Generation Algorithm Using a Japanese Trade Database: Dealing with Ambiguous Export and Import Information (Takaya Ohsato, Kaya Akagi, Hiroshi Deguchi)....Pages 83-96 Stock Price Prediction with Fluctuation Patterns Using Indexing Dynamic Time Warping and \(k^*\)-Nearest Neighbors (Kei Nakagawa, Mitsuyoshi Imamura, Kenichi Yoshida)....Pages 97-111 Characterization of Consumers’ Behavior in Medical Insurance Market with Agent Parameters’ Estimation Process Using Bayesian Network (Ren Suzuki, Yoko Ishino, Shingo Takahashi)....Pages 112-128 Do News Articles Have an Impact on Trading? - Korean Market Studies with High Frequency Data (Sungjae Yoon, Aiko Suge, Hiroshi Takahashi)....Pages 129-139 Detecting Short-Term Mean Reverting Phenomenon in the Stock Market and OLMAR Method (Kazunori Umino, Takamasa Kikuchi, Masaaki Kunigami, Takashi Yamada, Takao Terano)....Pages 140-156 A Study on Technology Structure Clustering Through the Analyses of Patent Classification Codes with Link Mining (Masashi Shibata, Masakazu Takahashi)....Pages 157-165 Front Matter ....Pages 167-169 Relating Intensional Semantic Theories: Established Methods and Surprising Results (Kristina Liefke)....Pages 171-187 Expressive Small Clauses in Japanese (Yu Izumi, Shintaro Hayashi)....Pages 188-199 Pictorial and Alphabet Writings in Asymmetric Signaling Games (Liping Tang)....Pages 200-213 Collecting Weighted Coercions from Crowd-Sourced Lexical Data for Compositional Semantic Analysis (Mathieu Lafourcade, Bruno Mery, Mehdi Mirzapour, Richard Moot, Christian Retoré)....Pages 214-230 How Dogwhistles Work (R. Henderson, E. McCready)....Pages 231-240 Transformational Semantics on a Tree Bank (Oleg Kiselyov)....Pages 241-252 Derived Nominals and Concealed Propositions (Ilaria Frana, Keir Moulton)....Pages 253-265 Denials and Negative Emotions: A Unified Analysis of the Cantonese Expressive Gwai2 (Grégoire Winterstein, Regine Lai, Zoe Pei-sui Luk)....Pages 266-281 Evidentials in Causal Premise Semantics: Theoretical and Experimental Investigation (Yurie Hara, Naho Orita, Hiromu Sakai)....Pages 282-298 Annotating Syntax and Lexical Semantics With(out) Indexing (Alastair Butler, Stephen Wright Horn)....Pages 299-313 Discontinuity in Potential Sentences in Japanese (Hiroaki Nakamura)....Pages 314-330 Front Matter ....Pages 331-333 Invited Talk: Structured Engineering Argumentation (Robin E. Bloomfield)....Pages 335-335 Invited Talk: Computational Persuasion with Applications in Behaviour Change (Anthony Hunter)....Pages 336-336 Front Matter ....Pages 337-338 A Hierarchical Neural Extractive Summarizer for Academic Papers (Kazutaka Kinugawa, Yoshimasa Tsuruoka)....Pages 339-354 Leveraging Document-Specific Information for Classifying Relations in Scientific Articles (Qin Dai, Naoya Inoue, Paul Reisert, Kentaro Inui)....Pages 355-370 Front Matter ....Pages 371-373 Investigating Classroom Activities in English Conversation Lessons Based on Activity Coding and Data Visualization (Zilu Liang, Satoshi Nishimura, Takuichi Nishimura, Mario Alberto Chapa-Martell)....Pages 375-389 On-site Knowledge Representation Tool for Employee-Driven Service Innovation (Kentaro Watanabe)....Pages 390-400 Consideration of Application Cases of Structured Manual and Its Utilization (Satoshi Nishimura, Ken Fukuda, Takuichi Nishimura)....Pages 401-413 Back Matter ....Pages 415-415 This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2013 Workshops LENLS, JURISIN, MiMI, AAA, and DDS which tool place on October 2013, in Japan. The 28 contributions in this volume were carefully reviewed and selected from 48 submissions. LENLS (Logic and Engineering of Natural Language Semantics) is an annual international workshop on formal semantics and pragmatics. LENLS10 was the tenth event in the series, and it focused on the formal and theoretical aspects of natural language. JURISIN (Juris-Informatics) 2013 was the seventh event in the series. The purpose of this workshop was to discuss fundamental and practical issues for jurisinformatics, bringing together experts from a variety of relevant backgrounds, including law, social science, information and intelligent technology, logic,and philosophy (including the area of AI and law). MiMI (Multimodality in Multiparty Interaction) 2013 covers topics as follows interaction studies, communication studies, conversation analysis, and workplace studies, as well as their applications in other research fields. AAA (Argument for Agreement and Assurance) 2013 focused on the theoretical foundations of argumentation in AI, and the application of argumentation to various fields such as agreement formation and assurance. DDS (Data Discretization and Segmentation for Knowledge Discovery) 2013 discussed segmentation methods for various types of data, such as graphs, trees, strings, and continuous data, and their applications in the areas of Machine Learning and Knowledge Discovery.