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This volume presents an exploration of a wide variety of new formal methods from computer science, biology and economics that have been applied to problems in semantics and pragmatics in recent years. Many of the contributions included focus on data from East Asian languages, particularly Japanese and Korean. The collection reflects on a range of new empirical issues that have arisen, including issues related to preference, evidentiality and attention. Separated into several sections, the book presents discussions on: information structure, speech acts and decisions, philosophical themes in semantics and new formal approaches to semantic and pragmatic theory. Its overarching theme is the relation between different kinds of content, from a variety of perspectives. The discussions presented are both theoretically innovative and empirically motivated.
This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012. The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections: NLP system architecture; lexical resources; morphology and syntax; word sense disambiguation and named entity recognition; semantics and discourse; sentiment analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering; information extraction and text mining; information retrieval and question answering; document summarization; and applications.
This book constitutes extended, revised, and selected papers from the 10th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2018. It was held in November 2018 in Yokohama, Japan. The 28 paper full papers and 5 short papers were carefully selected from 97 submissions. The papers selected cover topics in Artificial Intelligence, such as AI and law, business intelligence, human intelligence, logic and engineering, and data analytics and applications.
This book constitutes the refereed proceedings of 4 workshops held at the JSAI International Symposia on Artificial Intelligence 2010, in Tokyo, Japan, in November 2009. The 24 revised full papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the workshop sections Logic and Engineering of Natural Language Semantics (LENLS), Juris-Informatics (JURISIN), Knowledge Collaboration in Software Development (KCSD), and Learning with Logics and Logics for Learning (LLLL).
This book studies how technological solutions can be used to alleviate the current state of legal systems, with their clogged up courtrooms and inefficient conflict resolution methods. It reviews the shortcomings and disadvantages of traditional and alternative conflict resolution methods and turns to Artificial Intelligence for problem-solving techniques and solutions. The book is divided into four parts. The first part presents a general and systematic analysis of the current state of the legal systems, identifying the main problems and their causes. It then moves on to present UM Court: a framework for testing and prototyping conflict resolution services. This framework was developed with...
Arti?cial intelligence has recently been re-energized to provide the clues needed to resolve complicated problems. AI is also expected to play a central role in enhancing a wide variety of daily activities. JSAI (The Japanese Society for Arti?cial Intelligence) is responsible for boosting the activities of AI researchers in Japan, and their series of annual conferences o?ers attractive forums for the exposition of the latest achievements and inter-group communication. In the past, the best papers of the conferences were published in the LNAI series. This book consists of award papers from the 22nd annual conference of the JSAI (JSAI 2008) and selected papers from the three co-located worksho...
This book constitutes extended, revised, and selected papers from the 13th International Symposium on Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2021, held online in November 2021. The 26 full papers were carefully selected from 86 submissions. The papers are organized in the volume according to the following workshops: 15th International Workshop on Juris-Informatics, JURISIN 2021; 18th Workshop on Logic and Engineering of Natural Language Semantics, LENLS 18, 5th International Workshop on SCIentific DOCument Analysis, SCI-DOCA 2021; Workshop on Artificial Affective (Kansei) Intelligence, KANSEI-AI 2021; 5th Workshop on Artificial Intelligence of and for Business, AI-Biz 2021.
Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to que...
In Bracketing Paradox and Direct Compositionality: Montagovian Morphology for Bound Morphemes, Kazuhiko Fukushima resolves bracketing paradoxes in Japanese—morphological vs. semantic incongruity, which supposedly pose insurmountable obstacles to traditional and simple-minded morphology—within morphology (the lexicon) proper. This resolution is achieved through formal semantic apparatus developed by Richard Montague and his followers, hence the label Montagovian Morphology. More generally and theoretically, this book addresses the issue of the optimal interface between morphology, which deals with minimal units of meaning and their combination within a word, and semantics, which handles increasingly larger units of meaning in the sentence. Fukushima argues that the nature of the interface is directly compositional, requiring no complex syntactic supposition or manipulation other than putting words together as is. The author concludes that a semantically reinforced morphological—that is, lexical—approach is superior to a syntactic one for characterizing the mapping between morphological and semantic domains, and that syntax per se cannot supersede morphology.
The Routledge Companion to Biology in Art and Architecture collects thirty essays from a transdisciplinary array of experts on biology in art and architecture. The book presents a diversity of hybrid art-and-science thinking, revealing how science and culture are interwoven. The book situates bioart and bioarchitecture within an expanded field of biology in art, architecture, and design. It proposes an emergent field of biocreativity and outlines its historical and theoretical foundations from the perspective of artists, architects, designers, scientists, historians, and theoreticians. Includes over 150 black and white images.