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 | ||
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Lo trovi qui: Univ. di Salerno | ||
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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 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Cham : , : Springer International Publishing AG, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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