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New frontiers in artificial intelligence : JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, virtual event, November 15-17, 2020, Revised selected papers / Naoaki Okazaki, Katsutoshi Yada, Ken Satoh, Koji Mineshima (eds.).

JSAI-isAI (Symposium) (12th : 2020 : Online); Okazaki, Naoaki, editor.; Yada, Katsutoshi, editor.; Satoh, Ken, 1959- editor.; Mineshima, Koji, editor.; JURISIN (Workshop) (14th : 2020 : Online), jointly held conference.; LENLS (Workshop) (17th : 2020 : Online), jointly held conference.
2021
Q334
Available Online
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Title
New frontiers in artificial intelligence : JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, virtual event, November 15-17, 2020, Revised selected papers / Naoaki Okazaki, Katsutoshi Yada, Ken Satoh, Koji Mineshima (eds.).
Meeting Name
JSAI-isAI (Symposium) (12th : 2020 : Online)
ISBN
9783030799427 (electronic bk.)
3030799425 (electronic bk.)
9783030799410 (print)
3030799417
DOI
https://doi.org/10.1007/978-3-030-79942-7
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (xii, 295 pages) : illustrations (some color).
Item Number
10.1007/978-3-030-79942-7 doi
Call Number
Q334
Dewey Decimal Classification
006.3
Summary
This book constitutes extended, revised, and selected papers from the 12th International Symposium on Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2020. Organized in the Tokyo Institute of Technology, it was held virtually due to COVID-19 pandemic. The 19 full papers were carefully selected from 50 submissions and present two workshops: Logic and Engineering of Natural Language Semantics (LENLS 2020) focus on the formal and theoretical aspects of natural language. It is an annual International Workshop recognized internationally in the formal syntax-semantics-pragmatics community. The 14th International Workshop on Juris-informatics (JURISIN 2020) details legal issues for the perspective of information science. This workshop covers a wide range of topics, including any theories and technologies which are not directly related with juris-informatics but have a potential to contribute to this domain.
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 8, 2021).
Added Author
Okazaki, Naoaki, editor.
Yada, Katsutoshi, editor.
Satoh, Ken, 1959- editor.
Mineshima, Koji, editor.
Added Meeting Name
JURISIN (Workshop) (14th : 2020 : Online), jointly held conference.
LENLS (Workshop) (17th : 2020 : Online), jointly held conference.
Series
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 12758.
LNCS sublibrary. SL 7, Artificial intelligence.
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LENLS Logic and Engineering of Natural Language Semantics (LENLS)
A Semantics for "Typically" in First-Order Default Reasoning
On dialogue modeling: a dynamic epistemic inquisitive approach
Knowledge acquisition from natural language with Treebank Semantics and Flora
The Explicated Addressee: A (mainly) pragmatic account of Japanese ka-questions
Superlative Modifiers as Concessive Conditionals
Polynomial Event Semantics: Negation
Oleg Kiselyov Experiential Imagination and the Inside/Outside-Distinction
Against the multidimensional approach to honorific meaning: A solution to the binding problem of conventional implicature
A Persona-based Analysis of Politeness in Japanese and Spanish
JURISIN2020 Fourteenth International Workshop on Juris-informatics (JURISIN 2020)
AI and Judicial Policy
Differential Translation for Partially Amended Japanese Statutory Sentences
Aspect Classification for Legal Depositions
COLIEE 2020: Methods for Legal Document Retrieval and Entailment
COLIEE 2020: Legal Information Retrieval & Entailment with Legal Embeddings and Boosting
BERT-Based Ensemble Model for Statute Law Retrieval and Legal Information Entailment
Chuen Huang The Application of Text Entailment Techniques in COLIEE 2020
Information Extraction / Entailment of Common Law & Civil Code
Paragraph Similarity Scoring and Fine-Tuned BERT for Legal Information Retrieval and Entailment
Using BERT and TF-IDF to Predict Entailment in Law-Based Queries.

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