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Displaying results 1 to 16 of 16.

  1. Representation Learning for Natural Language Processing
    Contributor: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts.... more

     

    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book

     
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    Source: Union catalogues
    Contributor: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789819915996
    Edition: 2nd ed. 2024
    Subjects: COMPUTERS / Database Management / Data Mining; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Data Mining; Data mining; Expert systems / knowledge-based systems; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: 521 Seiten
    Notes:

    Chapter 1. Representation Learning and NLP.- Chapter 2. Word Representation.- Chapter 3. Compositional Semantics.- Chapter 4. Sentence Representation.- Chapter 5. Document Representation.- Chapter 6. Sememe Knowledge Representation.- Chapter 7. World Knowledge Representation.- Chapter 8. Network Representation.- Chapter 9. Cross-Modal Representation.- Chapter 10. Resources.- Chapter 11. Outlook.
  2. Representation Learning for Natural Language Processing
    Contributor: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts.... more

     

    This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book

     
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    Source: Union catalogues
    Contributor: Lin, Yankai (HerausgeberIn); Liu, Zhiyuan (HerausgeberIn); Sun, Maosong (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789819916023
    Edition: 2nd ed. 2024
    Subjects: COMPUTERS / Database Management / Data Mining; COMPUTERS / Expert Systems; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Data Mining; Data mining; Expert systems / knowledge-based systems; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: 521 Seiten
    Notes:

    Chapter 1. Representation Learning and NLP.- Chapter 2. Word Representation.- Chapter 3. Compositional Semantics.- Chapter 4. Sentence Representation.- Chapter 5. Document Representation.- Chapter 6. Sememe Knowledge Representation.- Chapter 7. World Knowledge Representation.- Chapter 8. Network Representation.- Chapter 9. Cross-Modal Representation.- Chapter 10. Resources.- Chapter 11. Outlook.
  3. Computational linguistics and intelligent text processing
    20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Inter-library loan:
    No inter-library loan

     

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers.The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining

     
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    Source: Union catalogues
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    Corporations / Congresses: CICLing, 20. (2019, La Rochelle)
    Series: Lecture notes in computer science
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; COMPUTERS / Programming / General; Computer programming / software development; Data Mining; Data Warehousing; Data mining; Databases; Datenbanken; Information retrieval; Informationsrückgewinnung, Information Retrieval; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Theoretische Informatik; Wissensbasierte Systeme, Expertensysteme
    Notes:

    Artificial intelligence.- Natural language processing.- Information extraction.- Lexical semantics.- Natural language generation.- Language resources.- Phonology .- Morphology.- Discourse.- Dialogue and pragmatics.
  4. Computational linguistics and intelligent text processing
    20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers – Part 2
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13452)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers.The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining

     
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  5. Computational linguistics and intelligent text processing
    20th International Conference, CICLing 2019, La Rochelle, France, April 7-13, 2019, revised selected papers – Part 1
    Contributor: Gelbukh, Alexander (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13451)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers.The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining

     
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  6. Web and big data
    6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, proceedings – Part 2
    Contributor: Li, Bohan (HerausgeberIn); Yue, Lin (HerausgeberIn); Tao, Chuanqi (HerausgeberIn); Han, Xuming (HerausgeberIn); Calvanese, Diego (HerausgeberIn); Amagasa, Toshiyuki (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.The 75 full papers presented together with 45 short... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13422)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data

     
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    Source: Union catalogues
    Contributor: Li, Bohan (HerausgeberIn); Yue, Lin (HerausgeberIn); Tao, Chuanqi (HerausgeberIn); Han, Xuming (HerausgeberIn); Calvanese, Diego (HerausgeberIn); Amagasa, Toshiyuki (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031251979
    Parent title: Web and big data : 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, proceedings - Show all bands
    Corporations / Congresses: APWeb-WAIM, 6. (2022, Nanjing)
    Series: Lecture notes in computer science ; 13422
    Subjects: Bildverarbeitung; COMPUTERS / Computer Vision & Pattern Recognition; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; COMPUTERS / Mathematical & Statistical Software; Computer vision; Data Mining; Data mining; Databases; Datenbanken; Discrete mathematics; Diskrete Mathematik; Mathematik für Informatiker; Maths for computer scientists; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wahrscheinlichkeitsrechnung und Statistik; Wissensbasierte Systeme, Expertensysteme
    Scope: xviii, 560 Seiten, Illustrationen
    Notes:

    Research tracks. Big Data Analytic and Management.- Advanced database and web applications.- Cloud Computing and Crowdsourcing.- Data Mining.- Graph Data and Social Networks.- Information Extraction and Retrieval.- Knowledge Graph.- Machine Learning.- Query processing and optimization.- Recommender Systems.- Security, privacy, and trust& Blockchain data management and applications.- Spatial and multi-media data.- Demo papers.
  7. Advances in information retrieval
    Part 1
    Contributor: Caputo, Annalina (HerausgeberIn); Crestani, Fabio (HerausgeberIn); Davis, Brian (HerausgeberIn); Goeuriot, Lorraine (HerausgeberIn); Gurrin, Cathal (HerausgeberIn); Joho, Hideo (HerausgeberIn); Kamps, Jaap (HerausgeberIn); Kruschwitz, Udo (HerausgeberIn); Maistro, Maria (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer International Publishing AG, Cham

    The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13980)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, and 12 reproducibility papers, 10 doctoral consortium papers were carefully reviewed and selected from 489 submissions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search

     
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    Source: Union catalogues
    Contributor: Caputo, Annalina (HerausgeberIn); Crestani, Fabio (HerausgeberIn); Davis, Brian (HerausgeberIn); Goeuriot, Lorraine (HerausgeberIn); Gurrin, Cathal (HerausgeberIn); Joho, Hideo (HerausgeberIn); Kamps, Jaap (HerausgeberIn); Kruschwitz, Udo (HerausgeberIn); Maistro, Maria (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031282430
    Parent title: Advances in information retrieval - Show all bands
    Corporations / Congresses: European Conference on Information Retrieval, 45. (2023, Dublin)
    Series: Lecture notes in computer science ; 13980
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; Data Mining; Data Warehousing; Data mining; Databases; Datenbanken; Information retrieval; Informationsrückgewinnung, Information Retrieval; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: xlvii, 740 Seiten
    Notes:

    Full Papers.- Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval.- User Requirement Analysis for a Recommender System-Based Meeting Assistant.- Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.- Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation.- Injecting the BM25 Score as Text Improves BERT-Based Re-rankers.- Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers.- A Knowledge Infusion based Multitasking System for Sarcasm Detection in Meme.- Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion.- Market-Aware Models for Efficient Cross Market Recommendation.- TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain.- An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application.- Graph-based Recommendation for Sparse and Heterogeneous User Interactions.- It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers.- Recommendation Algorithm Based on Deep Light Graph Convolution Network in Knowledge Graph.- Query Performance Prediction for Neural IR: Are We There Yet?.- Item Graph Convolutional Collaborative Filtering for Inductive Recommendations.- CoLISA: Inner Interaction via Contrastive Learning for Multi-Choice Reading Comprehension.- Viewpoint Diversity in Search Results.- COILCR: Efficient Semantic Matching in Contextualized Exact Match Retrieval.- Bootstrapped nDCG Estimation in the Presence of Unjudged Documents.- Predicting the Listening Contexts of Music Playlists Using Knowledge Graphs.- Keyword Embeddings for Query Suggestion.- Domain-driven and Discourse-guided Scientific Summarisation.- Injecting Temporal-aware Knowledge in Historical Named Entity Recognition.- A Mask-based Logic Rules Dissemination Method for Sentiment Classifiers.- Contrasting Neural Click Models and Pointwise IPS Rankers.- Sentence Retrieval for Open-Ended Dialogue using Dual Contextual Modeling.- Temporal Natural Language Inference: Evidence-based Evaluation of Temporal Text Validity.- Theoretical Analysis on the Efficiency of Interleaved Comparisons.- Intention-aware Neural Networks for Question Paraphrase Identification.- Automatic and Analytical Field Weighting for Structured Document Retrieval.- An Experimental Study on Pretraining Transformers from Scratch for IR.- Neural Approaches to Multilingual Information Retrieval.- CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval.- SR-CoMbEr: Heterogeneous Network Embedding using Community Multi-view Enhanced Graph Convolutional Network for Automating Systematic Reviews.- Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering.- A Transformer-based Framework for POI-level Social Post Geolocation.- Document-Level Relation Extraction with Distance-dependent Bias Network and Neighbors Enhanced Loss.- Investigating Conversational Agent Action in Legal Case Retrieval.- MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval.- Listwise Explanations for Ranking Models using Multiple Explainers.- Improving video retrieval using multilingual knowledge transfer.- Service is good, very good or excellent? Towards Aspect based Sentiment Intensity Analysis.- Effective Hierarchical Information Threading using Network Community Detection.- HADA: A Graph-based Amalgamation Framework in Image-Text Retrieval.
  8. Dive into Deep Learning
    Author: Zhang, Aston; Lipton, Zachary; Li, Mu; Smola, Alexander J.
    Published: 2023
    Publisher:  Cambridge University Press, Cambridge

    Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires... more

    Location:
    Bibliothek LIV HN Sontheim
    Inter-library loan:
    No inter-library loan

     

    Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required-every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781009389433
    RVK Categories: ST 301
    Subjects: COM089000; COM094000; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; COMPUTERS / Information Theory; COMPUTERS / Natural Language Processing; Data Mining; Data analysis: general; Data capture & analysis; Data mining; Datenerfassung und -analyse; Datenwissenschaft und -analyse: allgemein; Information theory; Informationstheorie; LANGUAGE ARTS & DISCIPLINES / Library & Information Science; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: XXI, 574 Seiten, 26 cm
    Notes:

    Literaturverzeichnis: Seiten 516-538

    Installation; Notation; 1. Introduction; 2. Preliminaries; 3. Linear neural networks for regression; 4. Linear neural networks for classification; 5. Multilayer perceptrons; 6. Builders guide; 7. Convolutional neural networks; 8. Modern convolutional neural networks; 9. Recurrent neural networks; 10. Modern recurrent neural networks; 11. Attention mechanisms and transformers; Appendix. Tools for deep learning; Bibliography; Index.
  9. Pattern Recognition and Machine Learning
    Exploring the Power of Data Analysis and Prediction through Cutting-Edge Technology
    Author: Williams, Conor
    Published: 2023
    Publisher:  Oleksandr Rumianstev, [Erscheinungsort nicht ermittelbar]

  10. Experimental IR meets multilinguality, multimodality, and interaction
    14th international conference of the CLEF association, CLEF 2023, Thessaloniki, Greece, September 18-21, 2023 : proceedings
    Contributor: Arampatzis, Avi (HerausgeberIn); Kanoulas, Evangelos (HerausgeberIn); Tsikrika, Theodora (HerausgeberIn); Vrochidis, Stefanos (HerausgeberIn); Giachanou, Anastasia (HerausgeberIn); Li, Dan (HerausgeberIn); Aliannejadi, Mohammad (HerausgeberIn); Vlachos, Michalis (HerausgeberIn); Faggioli, Guglielmo (HerausgeberIn); Ferro, Nicola (HerausgeberIn)
    Published: [2023]; © 2023
    Publisher:  Springer, Cham

    This volume LNCS 14163 constitutes the refereed proceedings of 14th International Conference of the CLEF Association, CLEF 2023, in Thessaloniki, Greece, during September 18-21, 2023. The 10 full papers and one short paper included in this book were... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(14163)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    This volume LNCS 14163 constitutes the refereed proceedings of 14th International Conference of the CLEF Association, CLEF 2023, in Thessaloniki, Greece, during September 18-21, 2023. The 10 full papers and one short paper included in this book were carefully reviewed and selected from 35 submissions. The conference focuses on authorship attribution, fake news detection and news tracking, noise-detection in automatically transferred relevance judgments, impact of online education on children's conversational search behavior, analysis of multi-modal social media content, knowledge graphs for sensitivity identification, a fusion of deep learning and logic rules for sentiment analysis, medical concept normalization and domain-specific information extraction. In addition to this, the volume presents 7 "Best of the labs" papers which were reviewed as full paper submissions with the same review criteria. 13 lab overview papers were accepted and represent scientific challenges based on new datasets and real world problems in multimodal and multilingual information access

     
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    Source: Union catalogues
    Contributor: Arampatzis, Avi (HerausgeberIn); Kanoulas, Evangelos (HerausgeberIn); Tsikrika, Theodora (HerausgeberIn); Vrochidis, Stefanos (HerausgeberIn); Giachanou, Anastasia (HerausgeberIn); Li, Dan (HerausgeberIn); Aliannejadi, Mohammad (HerausgeberIn); Vlachos, Michalis (HerausgeberIn); Faggioli, Guglielmo (HerausgeberIn); Ferro, Nicola (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031424472
    Corporations / Congresses: International Conference of the CLEF Association, 14. (2023, Thessaloniki)
    Series: Lecture notes in computer science ; 14163
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; COMPUTERS / Interactive & Multimedia; Data Mining; Data Warehousing; Data mining; Databases; Datenbanken; Grafische und digitale Media-Anwendungen; Graphical & digital media applications; Information retrieval; Informationsrückgewinnung, Information Retrieval; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: xxi, 534 Seiten, Illustrationen, Diagramme
    Notes:

    Literaturangaben

    Conference Papers.- I nception Models for Fashion Image Captioning: an Extensive Study on Multiple Datasets.- The Best is yet to Come: A Reproducible Analysis of CLEF eHealth TAR Experiments.- Predicting Retrieval Performance Changes in Evolving Evaluation Environments.- Predicting Retrieval Performance Changes in Evolving Evaluation Environments.- Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research.- Using authorship embeddings to understand writing style in social media.- Trend Detection in Crime-related Time Series with Change Point Detection Methods.- DAVI: a Dataset for Automatic Variant Interpretation.- qCLEF: a Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems.- Graph-Enriched Biomedical Entity Representation Transformer.- Supervised Machine-Generated Text Detectors: Family and Scale Matters.- Best of CLEF 2022 Labs.- Cross-lingual Candidate Retrieval and Re-ranking for Biomedical Entity Linking.- Humour Translation with Transformers.- Fight Against Misinformation on Social Media: Detecting Attention-Worthy and Harmful Tweets and Verifiable and Check-Worthy Claims.- A Re-labeling Approach based on Approximate Nearest Neighbors for Identifying Gambling Disorders in Social Media.- Touche 2022 Best of Labs: Neural Image Retrieval for Argumentation.- SimpleText Best of Labs in CLEF-2022: Simplify Text Generation with Prompt Engineering.- Answer Retrieval for Math Questions using Structural and Dense Retrieval.- CLEF 2023 Lab Overviews.- Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.- Overview of the CLEF-2023 CheckThat! Lab Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source.- Overview of DocILE 2023: Document Information Localization and Extraction.- Overview of eRisk 2023: Early Risk Prediction on the Internet.- Overview of EXIST 2023 - Learning with Disagreement for Sexism Identification and Characterization.- Intelligent Disease Progression Prediction: Overview of iDPPCLEF 2023.- Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications.- Overview of JOKER - CLEF-2023 Track on Automatic Wordplay Analysis.- Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi.- Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance.- Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection.- Overview of the CLEF 2023 SimpleText Lab: Automatic Simplification of Scientific Texts.- Overview of the CLEF 2023 SimpleText Lab: Automatic Simplification of Scientific Texts.
  11. Proceedings of World Conference on Artificial Intelligence: Advances and Applications
    WCAIAA 2023
    Contributor: Anand, Darpan (HerausgeberIn); Nagar, Atulya K. (HerausgeberIn); Tripathi, Ashish Kumar (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), organized by Sir Padampat Singhania University, India and is technically sponsored by Soft... more

     

    This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), organized by Sir Padampat Singhania University, India and is technically sponsored by Soft Computing Research Society during March 18-19, 2023. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain-machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human-computer interaction, intelligent sensor, devices and applications, and intelligent database systems

     
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    Source: Union catalogues
    Contributor: Anand, Darpan (HerausgeberIn); Nagar, Atulya K. (HerausgeberIn); Tripathi, Ashish Kumar (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789819958801
    Edition: 1st ed. 2023
    Series: Algorithms for Intelligent Systems
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / Data Mining; Data Mining; Data mining; Künstliche Intelligenz; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; TECHNOLOGY & ENGINEERING / Engineering (General); Wissensbasierte Systeme, Expertensysteme
    Scope: 551 Seiten
    Notes:

    A pragmatic study of machine learning models used during data retrieval: An empirical perspective.- Patient-Centric Electronic Health Records Management System Using Blockchain Based on Liquid Proof of Stake.- Prediction of Children Age Range Based on Book Synopsis.- Exploring Jaccard Similarity and Cosine Similarity for Developing an Assamese Question Answering System.- Artificial Neural Network modelling for simulating catchment runoff: a case study of East Melbourne.- Effective Decision Making through Skyline Visuals.- A Review Paper on The Integration of Blockchain Technology With IoT.- Survey and analysis of Epidemic Diseases Using Regression Algorithms.- Cauliflower Plant Disease Prediction Using Deep Learning Techniques.- Disease Detection and Prediction in plants through Leaves using Convolutional Neural Networks.- Classification of Breast Cancer Using Machine Learning: An In-Depth Analysis.- Prediction of Age, Gender and Ethinicity Using Haar Cascade Algorithm In Convolutional Neural Networks.- A Lightweight Solution to Intrusion Detection and Non-Intrusive Data Encryption.- Efficiency of cellular automata filters for noise reduction in digital images.- Scheming of silver nickel magnopsor for Magneto-Plasmonic (MP) activity.- Heart Stroke Prediction Using Different Machine Learning Algorithms.- Credit Card Fraud Detection using Hybrid Machine Learning Algorithm.- Smart Air Pollution Monitoring System for Hospital Environment using Wireless Sensor and LabVIEW.- Mining optimal patterns from transactional data using Jaya Algorithm.- Accurate Diagnosis of Leaf Disease based on Unsupervised Learning Algorithms.- Modified teaching-learning based algorithm for long short-term memory optimization: an application for univarate individual household energy consumption forecasting.- Chaotic Quasi-Oppositional Chemical Reaction Optimization for Optimal Tuning of Single Input Power System Stabilizer.- Network Intrusion Detection System for Cloud Computing security using Deep Neural Network framework.- Detection of Alzheimer's Disease using Deep Learning Technique.- Performance Evaluation of Multiple ML Classifiers for Malware detection.- An analysis of feature engineering approaches for unlabeled dark web data classification.- Anomaly Detection to prevent Sensitive Data Exposure usiang GMM Clustering Model.- Real-time Driver Drowsiness detection system using Machine Learning.- Nature-Inspired Information Retrieval Systems: A Systematic Review of Literature and Techniques.- Deep Learning based Smart Attendance System.- Optical Character Recognition and Text Line Recognition of Handwritten Documents: A Survey.- Advanced Pointer-Generator Networks Based Text Generation.
  12. Deep learning theory and applications
    4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, proceedings
    Contributor: Conte, Donatello (HerausgeberIn); Fred, Ana (HerausgeberIn); Gusikhin, Oleg (HerausgeberIn); Sansone, Carlo (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly... more

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RS 7445(1875)
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    No loan of volumes, only paper copies will be sent

     

    This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding

     
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    Source: Union catalogues
    Contributor: Conte, Donatello (HerausgeberIn); Fred, Ana (HerausgeberIn); Gusikhin, Oleg (HerausgeberIn); Sansone, Carlo (HerausgeberIn)
    Language: English
    Media type: Conference proceedings
    Format: Print
    ISBN: 9783031390586
    Corporations / Congresses: DeLTA, 4. (2023, Rom)
    Series: Communications in computer and information science ; 1875
    Subjects: Angewandte Informatik; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / Data Mining; COMPUTERS / Social Aspects / Human-Computer Interaction; Data Mining; Data mining; Information technology: general issues; Informationstechnik (IT), allgemeine Themen; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: xvii, 482 Seiten, Illustrationen, Diagramme
    Notes:

    Pervasive AI: (deep) Learning into the Wild.- Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies.- Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost.- Improving Primate Sounds Classification Using Binary Presorting for Deep Learning.- Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes.- Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach.- A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection.- An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven.- Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight.- Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition.- Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-Trained Networks vs. Training from Scratch.- A Study of Neural Collapse for Text Classification.- Research Data Reusability with Content-Based Recommender System.- MSDeepNet: A Novel Multi-Stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos.- A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data.- Explaining Relation Classification Models with Semantic Extents.- Phoneme-Based Multi-Task Assessment of Affective Vocal Bursts.- Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions.- ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP.- Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language.- Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models.- Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels.- TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity.- Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application.- An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning.- UMLDesigner: An Automatic UML Diagram Design Tool.- Graph Neural Networks for Circuit Diagram Pattern Generation.- Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets.- A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems.- GAN-Powered Model&Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.-GAN-Based LiDAR Intensity Simulation.- Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes.- FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes.- CSR & Sentiment Analysis: A New Customized Dictionary.
  13. Artificial Intelligence and fuzzy logic in modern human resource management
    Author: Spengler, Thomas; Volkmer, Tobias; Herzog, Sebastian
    Published: [2023]
    Publisher:  Otto-von-Guericke-Universität Magdeburg, Fakultät für Wirtschaftswissenschaft, Magdeburg

    The corporate environment is always characterized by a high degree of volatility, uncertainty, complexity and ambiguity. These aspects influence Human Resource Management (HRM) just like other areas of the company. In the context of decision... more

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    Universitäts- und Landesbibliothek Sachsen-Anhalt / Zentrale
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    eBook
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 377
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    Location:
    Otto-von-Guericke-Universität, Universitätsbibliothek
    Signature:
    epubhzs23
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    The corporate environment is always characterized by a high degree of volatility, uncertainty, complexity and ambiguity. These aspects influence Human Resource Management (HRM) just like other areas of the company. In the context of decision problems, especially in HRM, it is not always possible to specify all the considered variables precisely. A suitable instrument to deal with such fuzzy conditions is Fuzzy Logic (FL). This paper aims to give insights into this field and its possible applications in HRM. For this purpose, selected theoretical foundations from the areas of HRM, FL and Artificial Intelligence (AI) are presented first. Based on this, situations in HRM are shown in which it can be useful to include FL in decision calculations. These concern e.g. problems of personnel allocation or considerations on the segmentation of labor forces. The paper is aimed at both practitioners and scholars.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Series: Working paper series / Otto von Guericke Universität Magdeburg, Faculty of Economics and Management ; 2023, no. 10
    Subjects: Artificial Intelligence; Data Mining; Demography Sensitive Personnel Policy; Digitization; Fuzzy Expert Systems; Fuzzy Logic; Fuzzy Scenarios; Human Resource Manage- ment; Leadership Styles; (Meta-)Heuristics; Simulation
    Scope: 1 Online-Ressource (48 Seiten, 0,68 MB), Diagramme
  14. Nowcasting world trade with machine learning
    a three-step approach
    Author: Chinn, Menzie David; Meunier, Baptiste; Stumpner, Sebastian
    Published: [2023]
    Publisher:  European Central Bank, Frankfurt am Main, Germany

    We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the... more

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    Signature:
    DS 534
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    We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform not only the tree-based techniques, but also more "traditional" linear and non-linear techniques (OLS, Markov-switching, quantile regression). They do so significantly and consistently across different horizons and real-time datasets. To further improve performances when forecasting with machine learning, we propose a flexible three-step approach composed of (step 1) pre-selection, (step 2) factor extraction and (step 3) machine learning regression. We find that both pre-selection and factor extraction significantly improve the accuracy of machine-learning-based predictions. This three-step approach also outperforms workhorse benchmarks, such as a PCA-OLS model, an elastic net, or a dynamic factor model. Finally, on top of high accuracy, the approach is flexible and can be extended seamlessly beyond world trade.

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9789289961219
    Other identifier:
    hdl: 10419/278668
    Series: Working paper series / European Central Bank ; no 2836
    Subjects: Wirtschaftsprognose; Internationale Wirtschaft; Prognoseverfahren; Künstliche Intelligenz; Data Mining; Big Data; Faktorenanalyse; Nowcasting; Forecasting; big data; large dataset; factor model; pre-selection
    Scope: 1 Online-Ressource (circa 51 Seiten), Illustrationen
  15. Multilingual Mining word Data Base / World Wide Mining word Web (MMDB, WWMW)
    Mehrsprachige, technisch orientierte Wörtersammlung/Datenbank mit besonderer Berücksichtigung der bergbaulichen Rohstoffgewinnung und Rohstoffwirtschaft, sowie des Ingenieur-Studiums, einschließlich der naturwissenschaftl., geowissenschaftl. und betriebswirtschaftl. Grundlagen
    Author: Mahrenholtz, Hans L. P.
    Published: 2023
    Publisher:  Technische Universität Clausthal, Clausthal-Zellerfeld

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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Online
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    Subjects: Data Mining; Mehrsprachigkeit
    Other subjects: Wörtersammlung; Deutsch; Englisch; Russisch; Chinesisch (Zeichen und Pinyin)
    Scope: Online-Ressource, 2354 Seiten
  16. Digital Humanities in den Geschichtswissenschaften
    Contributor: Antenhofer, Christina (Herausgeber); Kühberger, Christoph (Herausgeber); Strohmeyer, Arno (Herausgeber)
    Published: 2023
    Publisher:  utb GmbH, Stuttgart ; Böhlau Wien

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    Source: Union catalogues
    Contributor: Antenhofer, Christina (Herausgeber); Kühberger, Christoph (Herausgeber); Strohmeyer, Arno (Herausgeber)
    Language: German
    Media type: Ebook
    Format: Online
    ISBN: 9783838561165
    Other identifier:
    9783838561165
    Edition: 1. Auflage
    Subjects: Geschichtswissenschaft; Digital Humanities; Digital Humanities; Geschichtswissenschaft; Digitalisierung; Geisteswissenschaften; Geschichtsunterricht; Neue Medien
    Other subjects: (Produktform)Digital download; (Produktform (spezifisch))PDF; (Zielgruppe)Fachhochschul-/Hochschulausbildung; (VLB-WN)9550; 1050: Einführungen und Grundlegungen; 1100: Studien- und Arbeitsbücher; 1150: Schlüsselkompetenz-Titel; 1550: Grundlagen (Bachelor); 1600: Vertiefung (Master); 2140: Geschichte; 2142: Methodenlehre; 2158: Geschichtsdidaktik; 2381: Recherche & Dokumentation; ZDB-41-UTBD; ZDB-41-UTBD2023-2: Geschichte 2023-2; (utb-Artikeltyp)00550; (utb-Artikelnummer)16116-001; (Ausgabeart)Online-Leserecht; Geschichtsunterricht; Geschichtsdidaktik; Digitalisate; Textmining; Intermedialität; Geschichte; Debatte; Digitale Transformation; digitale Methoden; Retrodigitalisierung; Wikipedia; Transkription; Forschung; Medien; Studienbuch; Wissenschaft; wissenschaftliches Arbeiten; Digital Archaeology; Visuelle Medien; Musikquellen; Data Mining; Intertextualität; Datenmodellierung; Netzwerkanalyse; E-Journals; Social Media; digitale Spiele; Urheberrecht; Datenschutzrecht; Geschichte studieren; Studium Geschichte; Lehrbuch; (utb-Artikelnummer)6116-001; (Ausgabeart)Print
    Scope: 1 Online-Ressource, 670 Seiten