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ویرایش: نویسندگان: Naoaki Okazaki (editor), Katsutoshi Yada (editor), Ken Satoh (editor), Koji Mineshima (editor) سری: ISBN (شابک) : 3030799417, 9783030799410 ناشر: Springer سال نشر: 2021 تعداد صفحات: 306 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 13 مگابایت
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در صورت تبدیل فایل کتاب New Frontiers in Artificial Intelligence: JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15–17, 2020, Revised Selected Papers (Lecture Notes in Computer Science) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب مرزهای جدید در هوش مصنوعی: کارگاه های آموزشی JSAI-isAI 2020، JURISIN، کارگاه های آموزشی LENLS 2020، رویداد مجازی، 15 تا 17 نوامبر 2020، مقالات منتخب اصلاح شده (یادداشت های سخنرانی در علوم کامپیوتر) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Preface Organization Contents LENLS Logic and Engineering of Natural Language Semantics (LENLS) 17 1 The Workshop 2 Acknowledgements A Semantics for ``Typically\'\' in First-Order Default Reasoning 1 Introduction 2 Notions We Combine 2.1 Two Embeddings of First-Order Logic in First-Order Modal Logic 2.2 Conditional Logic and Typically Implies 3 Atypical and Non-atypical Sets 4 The Semantics of Friedman et al. 5 Semantics for Conditional Logic with Fitting\'s Embedding 5.1 Moving to Satisfaction on Sets 5.2 Fitting-Twisted Semantics of First-Order Conditional Logic 5.3 Interesting Special Cases When A4 is Satisfied 5.4 Further Examples 6 Conclusions References On Dialogue Modeling: A Dynamic Epistemic Inquisitive Approach 1 Introduction 2 Negotiation Phases and Dialogue Gameboard 3 Inquisitive Semantics 4 Dialogue Participant\'s Epistemic State 5 Dialogue Dynamics and Context Updating 6 A Complete Example: Cheryl\'s Birthday 7 Comparision with Previous Work 8 Conclusion References Knowledge Acquisition from Natural Language with Treebank Semantics and Flora-2 1 Introduction 2 Reaching Database Content 3 Using the Obtained Database Content 3.1 Path Expressions 4 A Note to Consider Alternatives 5 Conclusion References The Explicated Addressee: A (Mainly) Pragmatic Account of Japanese ka-Questions 1 Introduction 2 The Data 2.1 Japanese ka-Questions and Honorification 2.2 Honorification is a Root Clause Phenomenon 2.3 Daroo/Desyoo in Declaratives and Questions 3 Earlier Theories 4 Analysis 4.1 The Explicated Addressee 4.2 Asking a ka question 4.3 Daroo: Orientation and Honorification 4.4 Predictions 5 Summary References Superlative Modifiers as Concessive Conditionals 1 Introduction 2 Previous Approaches 2.1 Modal Approach 2.2 Disjunction Approach 2.3 Summary 3 Proposal 3.1 Ingredients 3.2 Deriving AtLeast Without Superlative Morpheme 4 Explaining the Data 5 Further Predictions 5.1 Sukunakutomo with 5.2 Mo and Superlativity 6 Conclusion References Polynomial Event Semantics: Negation 1 Introduction 2 Event Quantification Problem 3 Polynomial Event Semantics 3.1 Polyconcepts 3.2 Quantification 3.3 Existential Quantification and Entailment 4 Negation 4.1 Scope Ambiguities with Quantified Adverbial Modifiers 4.2 Double Negation 5 A Model of Polyconcepts 6 Related Work 7 Conclusions References Experiential Imagination and the Inside/Outside-Distinction 1 Introduction 2 Experiential and Parasitic Imagining 2.1 Experientiality 2.2 Counterfactual Parasitism 3 Self-Imagination and Experiential Parasitism 3.1 Imagining de se 3.2 Experientially Parasitic de se-Imagining 4 Multiply Parasitic Imagining and Constraints on de se-Ascription 5 Applications 5.1 Vendler and Walton\'s Disagreement 5.2 Remembering `From the Outside\' 6 Outlook References Against the Multidimensional Approach to Honorific Meaning: A Solution to the Binding Problem of Conventional Implicature 1 Introduction 2 Basic Assumptions 2.1 The Logical Representation of Honorific Meaning 2.2 The Status of Honorific Meaning 3 The Two Approaches 3.1 The Multidimensional Approach 3.2 The Unidimensional Approach 4 The Binding Problem for Honorific Meaning 5 A Note on Sudo\'s Anaphora-Based Solution of the Binding Problem 6 Summary References A Persona-Based Analysis of Politeness in Japanese and Spanish 1 Introduction 2 Evidence 2.1 Japanese 2.2 Spanish 2.3 Interim summary 3 A Bayesian Dynamic Pragmatics Account of Politeness 3.1 Dynamic Pragmatics 3.2 Discussion 4 Dynamic update as Persona learning 5 Conclusion and Theoretical Implications References JURISIN2020 Fourteenth International Workshop on Juris-Informatics (JURISIN 2020) AI and Judicial Policy 1 Preface 2 Application of IT to Court 2.1 Video Link System, Triophone 2.2 Judicial System Reform – “The Supreme Court to Judge the Memories of the Case.” 2.3 Headquarters for Japan’s Economic Revitalization 3 Cyber Court Research in Japan 3.1 Thumbnail Software 3.2 Annotation Software 4 3 Types of Digitizing of Court [10] 4.1 American Type 4.2 German Type 4.3 Spanish Type - ARCONTE 5 AI and Trial 5.1 Definition of AI 5.2 Possibility of AI and Judicial Policy 6 Conclusion References Differential Translation for Japanese Partially Amended Statutory Sentences 1 Introduction 2 Task Definition 2.1 Partial Amendment in Japanese Legislation 2.2 Objective 3 Related Work 3.1 Template-Aware Statistical Machine Translation 3.2 Neural Machine Translation 4 Proposed Method 4.1 Translation Procedure 4.2 Focality Criterion 5 Experiment 5.1 Outline 5.2 Results 5.3 Discussion 6 Summary References Aspect Classification for Legal Depositions 1 Introduction 2 Related Work 3 Methods 3.1 Aspects Ontology 3.2 Aspect Classification 3.3 Canonical Representation 4 Dataset 5 Experiment Setup and Results 5.1 Experimental Setup 5.2 Results and Discussion 5.3 Error Analysis 6 Conclusion and Future Work References COLIEE 2020: Methods for Legal Document Retrieval and Entailment 1 Introduction 2 Task 1 - Case Law Information Retrieval 2.1 Task Definition 2.2 Dataset 2.3 Approaches 2.4 Results 3 Task 2 - Case Law Entailment 3.1 Task Definition 3.2 Dataset 3.3 Approaches 3.4 Results 4 Task 3 - Statute Law Retrieval 4.1 Task Definition 4.2 Dataset 4.3 Approaches 4.4 Results 5 Task 4 - Statute Law Entailment 5.1 Task Definition 5.2 Dataset 5.3 Approaches 5.4 Results 6 Final Remarks References COLIEE 2020: Legal Information Retrieval and Entailment with Legal Embeddings and Boosting 1 Introduction 1.1 Contributions 2 Related Work 3 Legal Embeddings 4 Task 1: Case Law Information Retrieval 4.1 Methodology 4.2 Experimental Setup 4.3 Results 5 Task 2: Case Law Entailment 5.1 Methodology 5.2 Experimental Setup 5.3 Results 6 Task 3: Statute Law Information Retrieval 6.1 Methodology 6.2 Experimental Setup 6.3 Results 7 Task 4: Statute Law Entailment 7.1 Methodology 7.2 Experimental Setup 7.3 Results 8 Conclusion References BERT-Based Ensemble Model for Statute Law Retrieval and Legal Information Entailment 1 Introduction 2 Competition Data and Task Description 3 Data Preprocessing 4 Model Training and the Result 5 TASK 4: Yes/No Question Answering 6 Failure Analysis: Problems of Extraction-Based Question Answering 7 Conclusion References The Application of Text Entailment Techniques in COLIEE 2020 1 Introduction 2 Related Work 2.1 Open-Domain Textual Entailment 2.2 Case Law Textual Entailment 2.3 Statute Law Textual Entailment 3 Text Entailment in COLIEE 2020 3.1 Case Law Entailment 3.2 Statute Law Entailment 4 Results 4.1 Case Law Entailment 4.2 Statute Law Entailment 5 Conclusions References Information Extraction/Entailment of Common Law and Civil Code 1 Introduction 2 Task 1: The Legal Case Retrieval Task 2.1 Experiments 2.2 Results 3 Task 2: Legal Case Entailment 3.1 Experiments and Results 4 Task 3: Civil Code Article Retrieval 4.1 Experiments 4.2 Results 5 Task 4: Civil Code Entailment 5.1 Experiments 5.2 Results 5.3 Discussion 6 Summary References Paragraph Similarity Scoring and Fine-Tuned BERT for Legal Information Retrieval and Entailment 1 Introduction 2 Task 1 - The Legal Case Retrieval Task 2.1 Task Description 2.2 Methodology 2.3 Results 2.4 Discussion 3 Task 2 - The Legal Case Entailment Task 3.1 Task Description 3.2 Methodology 3.3 Results 3.4 Discussion 4 Task 3 - Statutory Law Retrieval Task 4.1 Task Description 4.2 Methodology 4.3 Results 4.4 Discussion 5 Task 4 - Statutory Law Entailment Task 5.1 Task Description 5.2 Methodology 5.3 Results 5.4 Discussion 6 Conclusions References Using BERT and TF-IDF to Predict Entailment in Law-Based Queries 1 Background 2 Methods and Implementation 2.1 Task 3: Statute Law Information Retrieval 2.2 Task 4: Statute Law Entailment 3 Results 3.1 Task 3: Statute Law Information Retrieval 3.2 Task 4: Statute Law Entailment References Author Index