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Computational Linguistics [[electronic resource] ] : 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11–13, 2019, Revised Selected Papers / / edited by Le-Minh Nguyen, Xuan-Hieu Phan, Kôiti Hasida, Satoshi Tojo
Computational Linguistics [[electronic resource] ] : 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11–13, 2019, Revised Selected Papers / / edited by Le-Minh Nguyen, Xuan-Hieu Phan, Kôiti Hasida, Satoshi Tojo
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 524 p. 383 illus., 110 illus. in color.)
Disciplina 410.285
Collana Communications in Computer and Information Science
Soggetto topico Natural language processing (Computer science)
Database management
Machine learning
Natural Language Processing (NLP)
Database Management
Machine Learning
ISBN 981-15-6168-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Text Summarization -- Relation and Word Embedding -- Machine Translation -- Text Classification -- Web analysing -- Question and Answering, Dialog analyzing -- Speech and Emotion Analyzing -- Parsing and Segmentation -- Information Extraction -- Grammar Error and Plagiarism Detection.
Record Nr. UNISA-996465444503316
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Linguistics : 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11–13, 2019, Revised Selected Papers / / edited by Le-Minh Nguyen, Xuan-Hieu Phan, Kôiti Hasida, Satoshi Tojo
Computational Linguistics : 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11–13, 2019, Revised Selected Papers / / edited by Le-Minh Nguyen, Xuan-Hieu Phan, Kôiti Hasida, Satoshi Tojo
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 524 p. 383 illus., 110 illus. in color.)
Disciplina 410.285
Collana Communications in Computer and Information Science
Soggetto topico Natural language processing (Computer science)
Database management
Machine learning
Natural Language Processing (NLP)
Database Management
Machine Learning
ISBN 981-15-6168-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Text Summarization -- Relation and Word Embedding -- Machine Translation -- Text Classification -- Web analysing -- Question and Answering, Dialog analyzing -- Speech and Emotion Analyzing -- Parsing and Segmentation -- Information Extraction -- Grammar Error and Plagiarism Detection.
Record Nr. UNINA-9910413448403321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New Frontiers in Artificial Intelligence : JSAI-IsAI 2023 International Workshops, JURISIN, SCIDOCA, Emsemi and AI-Biz, Kumamoto, Japan, June 4-6, 2023, Revised Selected Papers
New Frontiers in Artificial Intelligence : JSAI-IsAI 2023 International Workshops, JURISIN, SCIDOCA, Emsemi and AI-Biz, Kumamoto, Japan, June 4-6, 2023, Revised Selected Papers
Autore Bono Mayumi
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (253 pages)
Altri autori (Persone) TakamaYasufumi
SatohKen
NguyenLe-Minh
KurahashiSetsuya
Collana Lecture Notes in Computer Science Series
ISBN 9783031605116
9783031605109
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- JURISIN 2023 -- Seventeenth International Workshop on Juris-informatics (JURISIN 2023) -- Compliance Checking in the Energy Domain via W3C Standards -- 1 Introduction -- 2 Background - W3C Standards for the Semantic Web -- 2.1 RDF and OWL -- 2.2 SPARQL and SHACL -- 3 Related Works -- 4 Case Study: Extracting Oil and Gas in Ghana -- 4.1 The (Asserted) Ontology -- 4.2 The SHACL/SPARQL Rules -- 5 Conclusions and Future Works -- References -- Programming Contract Amending -- 1 Introduction -- 2 Background: Modelling Contracts with Stipula -- 3 Amending Contracts -- 4 Stipula with Amendments -- 4.1 Additive Amendment -- 4.2 Overriding Amendment -- 5 Amendment Supplements: Agreements and Constraints -- 6 The Stipula Prototype and its Graphical Interface -- 7 Related Works -- 8 Conclusions -- References -- Modeling Medical Data Access with Prova -- 1 Introduction -- 2 Prova Basics -- 3 Use Case -- 4 Implementation -- 5 Discussion and Related Work -- 6 Conclusions and Future Work -- References -- Improving Vietnamese Legal Question-Answering System Based on Automatic Data Enrichment -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methods -- 4.1 General Architecture -- 4.2 Indexing -- 4.3 Quickview Retrieval Model -- 4.4 Supervised Model -- 4.5 Ensemble Model -- 5 Experimental Results and Discussion -- 5.1 Quickview Retrieval Result -- 5.2 Supervised Model Results -- 5.3 End-to-End Question Answering System Result -- 6 Conclusions -- References -- Modeling the Judgments of Civil Cases of Support for the Elderly at the District Courts in Taiwan -- 1 Introduction -- 2 Data Source -- 2.1 Open Data of Taiwan Judicial Yuan (TWJY) -- 2.2 Selecting Relevant Documents -- 2.3 A Relevant Social Factor and Mediation -- 3 Problem Definitions and Data Preprocessing -- 3.1 Judgment and Grant Predictions.
3.2 Preprocessing: Word Segmentation and the Blurring Procedure -- 4 The Grant and Dismiss Decisions -- 4.1 Vectorizations of the Texts: TF-IDF and Sentence-BERT -- 4.2 Classification of the Judgment Documents -- 5 A Model-Tree Approach for Predicting the Grants -- 5.1 Factors Influencing the Grants -- 5.2 Using a Model-Tree Model for Prediction -- 5.3 The Linear and Log-Linear Regression Models -- 5.4 Results of Empirical Evaluations and Ablation Study -- 6 Using NER for Factor Identification -- 7 Concluding Remarks -- Appendix: Finetuning the SBERT -- A.1 Data Preparation -- A.2 Finetuning -- A.3 Results and Discussions -- References -- Using WikiData for Handling Legal Rule Exceptions: Proof of Concept -- 1 Introduction -- 2 Examples from the European Court of Human Rights -- 3 Wikidata -- 4 Framework -- 5 Demonstration -- 6 Discussion -- 6.1 Matching Legal Concepts with Wikidata Items -- 6.2 Exploring Cases Using Sibling Items -- 6.3 Inventing Exceptional Concepts -- 6.4 Restoring Correspondences -- 6.5 Complexity and Validity of Algorithm -- 7 Conclusion -- References -- Constructing and Explaining Case Models: A Case-Based Argumentation Perspective -- 1 Introduction -- 2 Abstract Argumentation for Case-Based Reasoning -- 3 Case Models -- 4 Constructing Case Models -- 5 Explaining Case Models -- 6 Discussion -- 7 Conclusion -- References -- Using Ontological Knowledge and Large Language Model Vector Similarities to Extract Relevant Concepts in VAT-Related Legal Judgments -- 1 Introduction -- 2 Related Works and Motivations -- 3 Methodology -- 4 OntoVAT -- 4.1 Core Concepts -- 4.2 Design and Lexicalisation -- 4.3 Commitment and Scope -- 4.4 Alignment with Upper Ontologies -- 5 Application -- 6 Conclusion -- References -- An Example of Argumentation Scheme from Liability: The Case of Vicarious Liability -- 1 Introduction.
2 Argumentation Scheme from Vicarious Liability -- 2.1 Vicarious Liability -- 2.2 The Scheme -- 3 Mohamud v. WM Morrison Supermarkets -- 4 Cox v. Ministry of Justice -- 5 Discussion and Limitations -- 5.1 The Relation Between Liability and Causality -- 6 Conclusion -- References -- SCIDOCA 2023 -- Seventh International Workshop on Scientific Document Analysis (SCIDOCA 2023) -- Directional Generative Networks -- Comparison to Evolutionary Algorithms, Using Measurements for Molecules -- 1 Introduction -- 2 Related Works -- 3 Directional Generative Networks (DGN) -- 4 Experimental Details -- 4.1 Comparison -- 4.2 Degree of Freedom (DOF) of DGN Input -- 5 Conclusion -- References -- Reference Classification Using BERT Models to Support Scientific-Document Writing -- 1 Introduction -- 2 Related Work -- 3 Creation of Datasets -- 4 Methods -- 4.1 Clustering Method -- 4.2 Evaluation Measures -- 4.3 Experiment 1: Vector-Based Clustering for Abstracts -- 4.4 Experiment 2: Pairwise Learning Based Clustering -- 4.5 Experiment 3: Predicting the Number of Clusters -- 5 Results -- 6 Discussion -- 7 Conclusion and Future Work -- References -- Enhancing Legal Text Entailment with Prompt-Based ChatGPT: An Empirical Study -- 1 Introduction -- 2 Related Work -- 2.1 Introduction to ChatGPT -- 2.2 Approaches to Legal Text Entailment in COLIEE Competition -- 3 Methods -- 3.1 Using ChatGPT API -- 3.2 Prompt-Based ChatGPT for Legal Textual Entailment -- 4 Experimental Results and Error Classification -- 4.1 Experimental Results -- 4.2 Error Analysis and Classification -- 5 Conclusion -- References -- AI-Biz 2023 -- Artificial Intelligence of and for Business (AI-Biz 2023) -- 1 The Workshop -- 2 Synopsis of Presented Papers -- 3 Acknowledgment -- Development of a Macroeconomic Simulator with an Elaborated Firm Sector -- 1 Introduction -- 2 Related Works -- 3 Model.
3.1 Overview of the Model -- 3.2 Flow of Events in a Step -- 3.3 Construction of Business-to-business Supplier-Customer Networks -- 3.4 Demand Matching -- 3.5 Agent Behaviors -- 3.6 Major Differences Between Reference and Current Models -- 4 Simulation Analysis -- 4.1 Analysis Settings -- 4.2 Simulation Results -- 4.3 Sensitivity Analysis -- 5 Summary -- References -- Nowcasting Corporate Product Development Activities Through News Article by BERTopic: The Case of the Japanese Chemical Company -- 1 Background -- 2 Previous Studies -- 3 Analytical Methods -- 3.1 News Data -- 3.2 Extracting News Data -- 3.3 Topic Classification -- 3.4 Comparison with Securities Report -- 4 Result -- 4.1 Result of Extracting News Data -- 4.2 Result of Topic Classification -- 4.3 Comparison with Annual Reports and Production Numbers -- 5 Conclusion -- References -- Do Young People in Regional Cities of Japan Really Shift Away from Owning Automobiles? - From an Empirical Study and a Semi-structured Interview -- 1 Introduction -- 2 Empirical Facts in Yamaguchi Pref. or Related Areas -- 3 A Semi-structured Interview -- 3.1 Hypothesis and Design -- 3.2 Results -- 4 Concluding Remark -- A Statistical Analysis -- References -- Author Index.
Record Nr. UNINA-9910865261303321
Bono Mayumi  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui