Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource

ISBN: 9783031635366

Series Statement: Lecture notes in artificial intelligence 14638

Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-031-63535-9

Language: English

Keywords: Konferenzschrift

DOI: 10.1007/978-3-031-63536-6

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Kohlhase, Michael 1964-

Author information: Frank, Anette

Author information: Cimiano, Philipp 1977-

UID:

Format: IX, 246 S.

ISBN: 3-484-30344-1

Series Statement: Linguistische Arbeiten 344

Language: German

Subjects: Comparative Studies. Non-European Languages/Literatures , Romance Studies , German Studies

Keywords: Deutsch ; Syntax ; Lexikalisch funktionale Grammatik ; Französisch ; Deutsch ; Funktionale Syntax ; Französisch ; Deutsch ; Syntax ; Lexikalisch funktionale Grammatik ; Französisch ; Syntax ; Lexikalisch funktionale Grammatik ; Französisch ; Syntax ; Lexikalisch funktionale Grammatik ; Computerlinguistik ; Deutsch ; Syntax ; Lexikalisch funktionale Grammatik ; Computerlinguistik

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007080666&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007080666&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

URL: Inhaltsverzeichnis

Author information: Frank, Anette.

Author information: Berman, Judith 1963-

UID:

Format: 1 online resource (379 pages)

Edition: 1st ed. 2024.

ISBN: 3-031-63536-1

Series Statement: Lecture Notes in Artificial Intelligence, 14638

Content: This open access book constitutes the proceedings of the First International Conference on Robust Argumentation Machines, RATIO 2024, which took place in Bielefeld, Germany, during June 5-7, 2024. The 20 full papers and 1 short paper included in the proceedings were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: Argument Mining; Debate Analysis and Deliberation; Argument Acquisition, Annotation and Quality Assessment; Computational Models of Argumentation; Interactive Argumentation, Recommendation and Personalization; and Argument Search and Retrieval. .

Note: Argument Mining -- Natural language hypotheses in scientific papers and how to tame them: Suggested steps for formalizing complex scientific claims -- Weakly Supervised Claim Localization in Scientific Abstracts -- Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining -- Cluster-Specific Rule Mining for Argumentation-Based Classification -- Debate Analysis and Deliberation -- Automatic Analysis of Political Debates and Manifestos: Successes and Challenges -- PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis -- PolArg: Unsupervised Polarity Prediction of Arguments in Real-Time Online Conversations -- Argument Acquisition, Annotation and Quality -- Assessment Are Large Language Models Reliable Argument Quality Annotators -- The Impact of Argument Arrangement on Essay Scoring -- Finding Argument Fragments on Social Media with Corpus Queries and LLMs -- Computational Models of Argumentation -- Enhancing Abstract Argumentation Solvers with Machine Learning-Guided Heuristics: A Feasibility Study -- Ranking Transition-based Medical Recommendations using Assumption-based Argumentation -- Argumentation-based Probabilistic Causal Reasoning -- From Networks to Narratives: Bayes Nets and the problems of argumentation -- Enhancing Argument Generation using Bayesian Networks -- “Do not disturb my circles!” Identifying the Type of Counterfactual at Hand -- Interactive Argumentation, Recommendation and Personalization -- BEA: Building Engaging Argumentation -- Deciphering Personal Argument Styles – A Comprehensive Approach to Analyzing Linguistic Properties of Argument Preferences -- Argument Search and Retrieval -- Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection -- Objective Argument Summarization in Search -- ArgServices: A Microservice-Based Architecture for Argumentation Machines.

Additional Edition: ISBN 3-031-63535-3

Language: English

DOI: 10.1007/978-3-031-63536-6

UID:

Format: 1 online resource (379 pages)

Edition: 1st ed.

ISBN: 9783031635366

Series Statement: Lecture Notes in Computer Science Series ; v.14638

Note: Intro -- Preface -- Organization -- Contents -- Argument Mining -- Natural Language Hypotheses in Scientific Papers and How to Tame Them -- 1 Introduction: Scientific Hypotheses as Complex Claims -- 2 Related Work -- 2.1 Argumentation Modeling for Complex Scientific Claims -- 2.2 Knowledge Representation: Modeling Scientific Language with Knowledge Graphs -- 2.3 Hypothesis Representation in Invasion Biology -- 3 Example: The Biotic Resistance Hypothesis -- 4 Towards Formalizing Scientific Hypotheses -- 4.1 A Generic Structure for Scientific Hypotheses -- 4.2 Linking Hypothesis Formulations to Semantic Models -- 4.3 Classifying Relationships Between General and Specific Claims -- 5 Applications of the Framework -- 6 Limitations -- 7 Conclusions and Outlook -- Appendix -- References -- Weakly Supervised Claim Localization in Scientific Abstracts -- 1 Introduction -- 2 Background -- 2.1 Scientific Claim Detection -- 2.2 Input Optimization for Model Interpretability -- 3 Datasets -- 3.1 The INAS Dataset -- 3.2 The SciFact Dataset -- 4 Method -- 4.1 Span-Level Claim Evidence Localization -- 4.2 Sentence-Level Claim Evidence Localization -- 4.3 Evidence Injection -- 5 Experiments -- 5.1 Span-Level Claim Localization -- 5.2 Sentence-Level Claim Localization -- 6 Results -- 6.1 Span-Level Evidence Localization -- 6.2 Sentence-Level Evidence Localization -- 7 Conclusion -- A Experimental Details -- References -- Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining -- 1 Mining Interactions in Debates -- 2 Related Work -- 3 Predicting a Conversational Dataset -- 3.1 Corpus Creation -- 3.2 Mining Conversation Chains from Incomplete Graphs -- 3.3 Argument Abstraction by Stance and Aspect Prediction -- 3.4 Sequential Pattern Mining on Predicted Data -- 4 Results -- 4.1 Attack and Support Patterns. , 4.2 Pattern Mining Vs. Analyzing Distributions -- 5 Conclusion -- 5.1 Limitations -- 5.2 Future Work -- References -- Cluster-Specific Rule Mining for Argumentation-Based Classification -- 1 Introduction -- 2 Background -- 3 Cluster-Specific Rule Mining -- 4 Experimental Analysis -- 5 Limitations -- 6 Conclusion -- References -- Debate Analysis and Deliberation -- Automatic Analysis of Political Debates and Manifestos: Successes and Challenges -- 1 Introduction -- 2 Fine-Grained Analysis of Political Discourse -- 2.1 Less Annotation Is More: Few-Shot Claim Classification -- 2.2 Improving Claim Classification with Hierarchical Information -- 2.3 Multilingual Claim Processing -- 2.4 Robust Actor Detection and Mapping -- 3 Coarse-Grained Analysis of Political Discourse -- 3.1 Ideological Characterization -- 3.2 Policy-Domain Characterization -- 4 Conclusions -- References -- PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis 5540801En6FigaPrint.eps -- 1 Introduction -- 2 A Data Model for Perspectivized Argumentation -- 3 Constructing PAKTDDO from debate.org -- 3.1 Arguments from debate.org -- 3.2 Characterizing Arguments for Perspectivized Argumentation -- 3.3 Authors and Camps -- 3.4 Implementation and Tools for Building and Using PAKT -- 3.5 Preliminary Evaluation -- 4 Analytics Applied to PAKTDDO -- 5 Case Studies -- 5.1 Should Animal Hunting Be Banned? -- 5.2 Comparison to Other Issues -- 5.3 Argument Level -- 6 Related Work -- 7 Conclusion -- References -- PolArg: Unsupervised Polarity Prediction of Arguments in Real-Time Online Conversations -- 1 Introduction -- 2 Foundations -- 2.1 Computational Argumentation -- 2.2 Natural Language Processing -- 2.3 Online Conversation Platforms -- 3 Related Work -- 4 Prompting Strategies -- 4.1 Isolated Prompting -- 4.2 Sequential Prompting -- 4.3 Contextualized Prompting. , 4.4 Batched Prompting -- 5 Experimental Evaluation -- 5.1 Experimental Setup -- 5.2 Datasets -- 5.3 Results and Discussion -- 5.4 Qualitative Error Analysis -- 6 Limitations -- 7 Conclusion and Future Work -- A Prompting Templates -- A.1 Isolated Prompting -- A.2 Sequential Prompting -- A.3 Contextualized Prompting -- A.4 Batched Prompting -- References -- Argument Acquisition, Annotation and Quality Assessment -- Are Large Language Models Reliable Argument Quality Annotators? -- 1 Introduction -- 2 Related Work -- 2.1 Evaluating Argument Quality -- 2.2 LLMs as Annotators -- 3 Experimental Design -- 3.1 Expert Annotation -- 3.2 Novice Annotation -- 3.3 Models -- 3.4 Prompting -- 4 Results -- 4.1 Consistency of Argument Quality Annotations -- 4.2 Agreement Between Humans and LLMs -- 4.3 LLMs as Additional Annotators -- 5 Conclusion -- 6 Limitations -- References -- The Impact of Argument Arrangement on Essay Scoring -- 1 Introduction -- 2 Related Work -- 3 Data -- 3.1 Argument-Annotated Essays Corpus -- 3.2 Feedback Corpus -- 3.3 International Corpus of Learner English -- 4 Experiments -- 4.1 ADU and Sematic Type Classification -- 4.2 Predicting Essay Quality with Flows of Semantic Types -- 4.3 Analysis of Feature Impact -- 5 Discussion -- 6 Conclusion -- References -- Finding Argument Fragments on Social Media with Corpus Queries and LLMs -- 1 Introduction -- 2 Argumentative Fragments -- 2.1 An Inventory of Logical Patterns -- 2.2 Nested Patterns -- 3 Data -- 3.1 Corpus and Linguistic Annotation -- 3.2 Manual Annotation of Argument Fragments -- 4 Corpus Queries -- 4.1 Methods -- 4.2 Evaluation and Discussion -- 5 Hierarchical Queries -- 5.1 Methods -- 5.2 Evaluation -- 5.3 Discussion -- 6 Fine-Tuning LLMs -- 6.1 Methods and Evaluation -- 6.2 Discussion: Qualitative Comparison of Approaches -- 7 Limitations -- 8 Conclusion -- References. , Computational Models of Argumentation -- Enhancing Abstract Argumentation Solvers with Machine Learning-Guided Heuristics: A Feasibility Study -- 1 Introduction -- 2 Preliminaries -- 3 Solution Approaches in Abstract Argumentation -- 4 Machine Learning-Guided Heuristics -- 5 Experimental Analysis -- 5.1 Datasets and Setup -- 5.2 Initial Experimental Analysis -- 5.3 Evaluation and Results -- 6 Limitations -- 7 Conclusion -- References -- Ranking Transition-Based Medical Recommendations Using Assumption-Based Argumentation -- 1 Introduction -- 2 Preliminaries -- 2.1 Abstract Argumentation Frameworks -- 2.2 Ranking-Based Semantics -- 2.3 Assumption-Based Argumentation Frameworks -- 3 Ranking Assumptions -- 4 Case Study -- 5 Related Work -- 6 Limitations -- 7 Conclusion -- References -- Argumentation-Based Probabilistic Causal Reasoning -- 1 Introduction -- 2 Preliminaries -- 3 Causal Reasoning -- 3.1 Defeasible Causal Reasoning -- 3.2 Probabilistic Causal Reasoning -- 4 Counterfactual Reasoning -- 5 Discussion -- 6 Limitations -- 7 Conclusion -- References -- From Networks to Narratives: Bayes Nets and the Problems of Argumentation -- 1 Introduction -- 2 The Bayesian Approach to Argumentation -- 2.1 The Bayesian Framework -- 2.2 Bayesian Belief Networks (BBNs) -- 2.3 Explaining BBNs: Important Challenges -- 3 Algorithmic Approaches to Bayesian Argumentation -- 3.1 The Relation Between Argument Diagrams and Bayesian Networks -- 3.2 Introducing Three Extant Algorithms -- 3.3 Evaluating the Algorithms: Example Networks -- 4 Limitation -- 5 Conclusion -- References -- Enhancing Argument Generation Using Bayesian Networks -- 1 Introduction -- 2 The Question of Independent Arguments -- 2.1 Factor Graphs -- 2.2 Overview of the Factor-Graph-Approach Proposed by J. Sevilla -- 3 Testing and Improving the Factor Graph Algorithm. , 3.1 Overview of the BARD Project and ``the Spider'' Problem -- 3.2 Results with the Original Algorithm -- 3.3 Diagnosis and Solution Proposal -- 3.4 Results of the Improved Version -- 4 Limitation and Future Work -- 5 Conclusion -- A Appendix -- References -- ``Do Not Disturb My Circles!'' Identifying the Type of Counterfactual at Hand (Short Paper) -- 1 Introduction -- 1.1 Introductory Example -- 2 Preliminaries and Related work -- 3 Backtracking in Causal Models -- 3.1 When Backtracking is not Enough -- 3.2 Iterative Backup -- 3.3 Default Logic -- 3.4 Integration of Hyperreals -- 4 Discussion -- References -- Interactive Argumentation, Recommendation and Personalization -- BEA: Building Engaging Argumentation -- 1 Introduction -- 2 Related Work -- 2.1 Argumentative Dialog Systems -- 2.2 Reflective Engagement -- 2.3 Conversational User Engagement and Virtual Avatars -- 3 Prototype and Architecture of BEA -- 3.1 System Architecture -- 3.2 User Interface -- 4 Modeling Reflective Engagement -- 5 Evaluation -- 5.1 Study 1 ch17weber2023fostering: Analyzing Focus on Challenger Arguments -- 5.2 Study 2 ch17aicherspsiva: Influence of Avatar Interface -- 6 Limitations -- 7 Conclusion and Future Work -- References -- Deciphering Personal Argument Styles - A Comprehensive Approach to Analyzing Linguistic Properties of Argument Preferences -- 1 Introduction -- 2 Background -- 2.1 Argument Data -- 2.2 Argument Preferences -- 2.3 Visual Analytics for Linguistics -- 3 The CUEPAQ Argument Exploration Pipeline -- 3.1 The CUEPipe Workflow -- 3.2 Generating a Data Set for Exploring Argument Preferences -- 3.3 Learning Preferences via Visual Interactive Labeling -- 3.4 Exploring Personal Preferences -- 4 Study: Propositional Attitudes -- 5 Limitations -- 5.1 The CUEPipe -- 5.2 The Proof-of-concept Study -- 6 Conclusion -- References -- Argument Search and Retrieval. , Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection.

Additional Edition: Print version: Cimiano, Philipp Robust Argumentation Machines Cham : Springer,c2024 ISBN 9783031635359

Language: English

Keywords: Electronic books.

URL: Click to View

UID:

Format: 1 online resource (246 p.) : , Zahlr. Abb.

Edition: Reprint 2014

ISBN: 9783110955354 , 9783110636895

Series Statement: Linguistische Arbeiten , 344

Content: In dem Buch werden zwei linguistisch fundierte Grammatikfragmente dokumentiert, die am Institut für Maschinelle Sprachverarbeitung der Universität Stuttgart im Rahmen der maschinellen Übersetzung entwickelt wurden. Die Grammatiken folgen der Theorie der lexikalisch-funktionalen Grammatik (LFG) und erfassen eine Vielzahl syntaktischer Phänomene. Sie stellen somit eine der wenigen Implementierungen großer Grammatikfragmente dar, die auf einer wohlfundierten linguistischen Theorie beruhen. Die Theorie der LFG ist nach wie vor einer der wichtigsten unifikationsbasierten Grammatikformalismen. Nicht zuletzt durch den phrasenstrukturbasierten Ansatz der LFG konnten auch bei den vorliegenden großen Grammatikfragmenten gute Laufzeiten erzielt werden. Auf Grund der modularen Architektur des Übersetzungssystems ist die Verwendung der erstellten Grammatiken nicht ausschließlich auf den Bereich der maschinellen Übersetzung beschränkt. Die einzelsprachlichen Grammatiken können daher auch in anderen Bereichen der Sprachverarbeitung (wissensbasierte Systeme, Datenbankabfragesysteme etc.) wiederverwendet werden. Beide Grammatiken erfassen die zentralen Bereiche der deutschen bzw. der französischen Syntax. Neben Deklarativ- und Interrogativsätzen, finiten und infiniten Komplement- und Adverbialsätzen sowie Relativsätzen, kohärenten und inkohärenten Infinitiven werden die nicht-sententialen Strukturen (Nominalphrasen-, Adjektivphrasen- und Präpositionalphrasensyntax) sowie verschiedene Verbtypen und Diathesen (Passiv-, Reflexiv- und unpersönliche Konstruktionen) behandelt. Als sprachspezifische Besonderheiten sind im Deutschen die Verb-Zweit-Stellung, die VP-Topikalisierung, Extraposition und der pränominale Genitiv zu nennen, im Französischen komplexe Inversion, Topikalisierung, Clitisierung, Partizipialkongruenz sowie Stellung und Komparation des Adjektivs.

Content: The work documents two linguistically well-grounded grammar fragments for German and French developed in the framework of maschine translation. The grammars are based on the theory of Lexical-Functional Grammar, relate to central areas of German and French syntax and thus represent one of the few implementations of major grammar fragments based on a well-founded theory of grammar. Given the modular architecture of the translation system, the use of the grammars thus derived is not limited to maschine translation alone. The individual grammars for the respective languages can also be used in other areas of language processing (knowledge-based systems, data-bank inquiry systems etc.).

Note: Mode of access: Internet via World Wide Web. , In German.

In: DGBA Linguistics and Semiotics 1990 - 1999, De Gruyter, 9783110636895

Additional Edition: ISBN 9783484303447

Language: German

Subjects: German Studies

DOI: 10.1515/9783110955354

URL: https://doi.org/10.1515/9783110955354

URL: https://www.degruyter.com/isbn/9783110955354

URL: Cover

UID:

Format: XIV, 411 S , graph. Darst

Series Statement: Arbeitspapiere des Sonderforschungsbereichs 340 Sprachtheoretische Grundlagen der Computerlinguistik Bericht 91

Note: Zugl.: Stuttgart, Univ., Diss., 1996

Language: English

Keywords: Modalität ; Kontext ; Diskursrepräsentationstheorie ; Hochschulschrift ; Forschungsbericht

UID:

Note: Mikrofiche-Ausg. : 2 Mikrofiches , Freiburg 〈Breisgau〉, Univ., Diss., 1991

Language: German

Keywords: Hochschulschrift

UID:

Format: 1 online resource (229 p.) : , graph. Darst

Edition: Reprint 2010

ISBN: 9783111346656 , 9783110636895

Series Statement: Linguistische Arbeiten , 266

Note: Mode of access: Internet via World Wide Web. , In German.

In: DGBA Linguistics and Semiotics 1990 - 1999, De Gruyter, 9783110636895

Additional Edition: ISBN 9783484302662

Language: German

DOI: 10.1515/9783111346656

URL: https://doi.org/10.1515/9783111346656

URL: https://www.degruyter.com/isbn/9783111346656

URL: Cover

UID:

Note: Mikrofiche-Ausg. : 2 Mikrofiches , Freiburg 〈Breisgau〉, Univ., Diss., 1991

Language: German

Keywords: Hochschulschrift

UID:

Format: 1 online resource (xvii, 372 pages) : , illustrations (some color).

ISBN: 9783031635366 , 3031635361

Series Statement: Lecture notes in computer science. Lecture notes in artificial intelligence ; 14638

Content: This open access book constitutes the proceedings of the First International Conference on \, RATIO 2024, which took place in Bielefeld, Germany, during June 5-7, 2024. The 20 full papers and 1 short paper included in the proceedings were carefully reviewed and selected from 24 submissions. They were organized in topical sections as follows: Argument Mining; Debate Analysis and Deliberation; Argument Acquisition, Annotation and Quality Assessment; Computational Models of Argumentation; Interactive Argumentation, Recommendation and Personalization; and Argument Search and Retrieval. .

Note: International conference proceedings. , Includes author index. , Argument Mining -- Natural language hypotheses in scientific papers and how to tame them: Suggested steps for formalizing complex scientific claims -- Weakly Supervised Claim Localization in Scientific Abstracts -- Argument Mining of Attack and Support Patterns in Dialogical Conversations with Sequential Pattern Mining -- Cluster-Specific Rule Mining for Argumentation-Based Classification -- Debate Analysis and Deliberation -- Automatic Analysis of Political Debates and Manifestos: Successes and Challenges -- PAKT: Perspectivized Argumentation Knowledge Graph and Tool for Deliberation Analysis -- PolArg: Unsupervised Polarity Prediction of Arguments in Real-Time Online Conversations -- Argument Acquisition, Annotation and Quality -- Assessment Are Large Language Models Reliable Argument Quality Annotators -- The Impact of Argument Arrangement on Essay Scoring -- Finding Argument Fragments on Social Media with Corpus Queries and LLMs -- Computational Models of Argumentation -- Enhancing Abstract Argumentation Solvers with Machine Learning-Guided Heuristics: A Feasibility Study -- Ranking Transition-based Medical Recommendations using Assumption-based Argumentation -- Argumentation-based Probabilistic Causal Reasoning -- From Networks to Narratives: Bayes Nets and the problems of argumentation -- Enhancing Argument Generation using Bayesian Networks -- Do not disturb my circles! Identifying the Type of Counterfactual at Hand -- Interactive Argumentation, Recommendation and Personalization -- BEA: Building Engaging Argumentation -- Deciphering Personal Argument Styles A Comprehensive Approach to Analyzing Linguistic Properties of Argument Preferences -- Argument Search and Retrieval -- Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection -- Objective Argument Summarization in Search -- ArgServices: A Microservice-Based Architecture for Argumentation Machines.

Language: English

Keywords: Electronic books. ; proceedings (reports) ; Conference papers and proceedings. ; Actes de congrès.

DOI: 10.1007/978-3-031-63536-6

URL: Kortext

URL: SpringerLink

URL: https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=31554444

URL: EBSCOhost