Advances in computational intelligence . Part II. : 21st Mexican international conference on artificial intelligence, MICAI 2022, Monterrey, Mexico, October 24-29, 2022, proceedings / / edited by Obdulia Pichardo Lagunas, Juan Martínez-Miranda, and Bella Martínez Seis

• Record Nr.: UNISA996495567303316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2022]; ©2022
• ISBN: 3-031-19496-9
• Descrizione fisica: 1 online resource (402 pages)
• Collana: Lecture Notes in Computer Science ; ; v.13613
• Disciplina: 006.3
• Soggetti: Computational intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Conference Organization -- Contents - Part II -- Contents - Part I -- Natural Language Processing -- Urdu Named Entity Recognition with Attention Bi-LSTM-CRF Model -- 1 Introduction -- 2 Related Work -- 2.1 Rule-Based Techniques -- 2.2 Statistical Techniques -- 2.3 Hybrid Techniques -- 3 Our Proposal -- 3.1 Embedding Layer -- 3.2 Bi-LSTM Module -- 3.3 Attention Layer -- 3.4 Encoder Layer -- 3.5 Conditional Random Field (CRF) -- 3.6 Prediction Layer -- 4 Experimental Setup -- 4.1 Data -- 4.2 Experiments -- 4.3 Evaluation Metrics -- 5 Results -- 6 Conclusions -- References -- Impact Evaluation of Multimodal Information on Sentiment Analysis -- 1 Introduction -- 2 Dataset -- 3 Method -- 3.1 Text Processing and Feature Extraction -- 3.2 Emoji Processing -- 3.3 Text in Image Detection -- 3.4 Image Sentiment Label -- 3.5 Feature Fusion -- 3.6 Classification Algorithm -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- .26em plus .1em minus .1emImproving Neural Machine Translation for Low Resource Languages Using Mixed Training: The Case of Ethiopian Languages -- 1 Introduction -- 1.1 High vs Low Resource Languages -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 4.1 Data Pre-processing -- 4.2 Model -- 5 Experiments and Results -- 5.1 Experiments -- 5.2 Dataset ; Split -- 5.3 Results -- 6 Conclusions and Future Work -- References -- Machine Translation of Texts from Languages with Low Digital Resources: A Systematic Review -- 1 Introduction -- 2 Method -- 2.1 Phase 1: Documentary Search -- 2.2 Phase 2: Description of Selection Criteria -- 2.3 Phase 3: Analysis and Categorization -- 2.4 Phase 4: Discussion -- 3 Conclusions -- References -- Comparison Between SVM and DistilBERT for Multi-label Text Classification of Scientific Papers Aligned with Sustainable Development Goals -- 1 Introduction -- 2 Related Work.; 2.1 Problem Transformation Method and Classification Algorithm -- 2.2 Transfer Learning Model -- 3 Methodology -- 3.1 Framework for Multi-label Text Classification -- 4 Model Experiments -- 4.1 Dataset -- 4.2 Data Preprocessing -- 4.3 Models Building -- 4.4 Model Evaluation -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- A Hybrid Methodology Based on CRISP-DM and TDSP for the Execution of Preprocessing Tasks in Mexican Environmental Laws -- 1 Introduction -- 2 Methodology Conceptualization for the Preprocessing of Legislative Documents -- 2.1 Methodology Description -- 3 Methodology Implementation for the Preprocessing of Legislative Documents -- 3.1 Judiciary of Mexico -- 3.2 Text Preprocessing Use Case for Environmental Laws -- 4 Validation of the Results -- 4.1 Business Understanding Deliverables -- 4.2 Data Understanding Deliverables -- 4.3 Data Preparation Deliverables -- 4.4 Experimental Process Deliverables -- 4.5 Experimental Process Results -- 5 Conclusions -- References -- News Intention Study and Automatic Estimation of Its Impact -- 1 Introduction -- 2 State of the Art -- 2.1 Difference of This Proposal with Respect to the State of the Art Presented Above -- 3 Solution Development -- 3.1 Description of the Solution -- 3.2 Scientific Novelty -- 3.3 Evaluation -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- Evaluation of a New Representation for Noise Reduction in Distant Supervision -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Baseline of Representation Learning Methods -- 3.3 Unsupervised Representation Learning Methods -- 3.4 Anomaly Detection Methods -- 3.5 Experimental Design -- 4 Experiments and Evaluation -- 5 Conclusions -- References -- Automatic Identification of Suicidal Ideation in Texts Using Cascade Classifiers -- 1 Introduction.; 2 Related Works -- 3 Proposed Method -- 3.1 Datasets -- 3.2 Weighing of Terms -- 3.3 Cascade Classification -- 4 Experimentation and Results -- 5 Conclusions -- References -- Web Crawler and Classifier for News Articles -- 1 Introduction -- 2 Web Crawling and Corpus Creation -- 3 Classifier -- 4 Web Application -- 5 Conclusions and Future Work -- References -- Sentiment Analysis in the Rest-Mex Challenge -- 1 Introduction -- 2 Corpus and Task Description -- 3 Method -- 3.1 Lexicon-Based Approach -- 3.2 Machine Learning Approach -- 4 Experiments and Results -- 4.1 Experiments with the Lexicon-Based Approach -- 4.2 Experiments with the Machine Learning Approach -- 5 Conclusions and Future Work -- References -- A Bibliometric Review of Methods and Algorithms for Generating Corpora for Learning Vector Word Embeddings -- 1 Introduction -- 2 Methodology -- 2.1 Methods -- 2.2 Materials -- 3 Results -- 3.1 Publications and Citations by Year -- 3.2 Top Conferences and Journals -- 3.3 Top Institutions and Funding Organizations -- 3.4 Top Influential Publications -- 3.5 Top Countries by Publications -- 4 Discussion -- 5 Conclusion -- References -- Evaluating the Impact of OCR Quality on Short Texts Classification Task -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Selection of Classification Categories ; -- 3.2 Obtaining OCRed Text -- 3.3 The Human Typed Text and Its Approximations -- 3.4 Train/Test Split -- 4 Classification Approaches -- 4.1 Fuzzy Substring Search -- 4.2 CNN -- 4.3 BERT -- 4.4 RoBERTa -- 5 Experiments and Results -- 5.1 Evaluation Metrics -- 5.2 Experiments -- References -- Techniques for Generating Language Learning Resources: A System for Generating Exercises for the Differentiation of Literal and Metaphorical Context -- 1 Introduction -- 2 Characteristics of Automatic Generation Systems for Learning.; 2.1 NLP Tasks at Automatic Generation Systems for Language Learning -- 2.2 Creation Sources -- 2.3 Technical and Methodological Aspects of Automatic Generation Systems for Learning -- 2.4 Text Preprocessing -- 3 An Automatic Generation System for Learning the English Language: Literal Language and Metaphorical Language -- 3.1 Corpus Selection -- 3.2 System Development: General Preprocessing -- 3.3 System Development: Exercises -- 4 Results -- 4.1 The Exercises Generated and Their Validation -- 5 Conclusion -- References -- Exploratory Data Analysis for the Automatic Detection of Question Paraphrasing in Collaborative Environments -- 1 Introduction -- 2 Theorical Framework -- 3 State of the Art -- 3.1 Scientific Novelty and Difference with the State of the Art -- 4 Solution Development -- 4.1 Initial EDA -- 4.2 Preprocessing -- 4.3 Feature Extraction -- 4.4 Analysis of Preprocessed Data -- 4.5 Classifier Models -- 4.6 Model Comparison -- 5 Conclusions and Future Work -- References -- Best Paper Award -- Diachronic Neural Network Predictor of Word Animacy -- 1 Introduction -- 2 Data and Method -- 3 Results -- 4 Case Study -- 5 Conclusion -- References -- Sequential Models for Sentiment Analysis: A Comparative Study -- 1 Introduction -- 2 Literature Review -- 3 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- Intelligent Applications and Robotics -- Analysis of Procedural Generated Textures for Video Games Using a CycleGAN -- 1 Introduction -- 2 Related Work -- 2.1 Procedural Content Generation -- 2.2 Generative Adversarial Networks -- 2.3 CycleGAN -- 3 Proposed Approach -- 4 Experimental Results -- 4.1 CycleGAN Training Details -- 4.2 CycleGAN Results -- 4.3 Emotional Data Collection -- 4.4 Emotional Results -- 5 Conclusions -- References.; Vibration Analysis of an Industrial Motor with Autoencoder for Predictive Maintenance -- 1 Introduction -- 1.1 A Subsection Sample -- 2 Background -- 3 Methodology -- 3.1 Materials and Test Bench Construction -- 4 Methodology -- 5 Results -- 6 Conclusions and Future Work -- References -- Modeling and Simulation of Swarm of Foraging Robots for Collecting Resources Using RAOI Behavior Policies -- 1 Introduction -- 2 Foraging Behavior -- 3 Swarm Features -- 3.1 Robot Mathematical Model -- 3.2 Limitations of Sensory Capacity of Robots -- 3.3 Local Behavior Rules -- 4 Simulation Environment -- 5 Results -- 6 Conclusion -- References -- Data-Driven Adaptive Force Control for a Novel Soft-Robot Based on Ultrasonic Atomization -- 1 Introduction -- 2 Actuation and Soft-Robot Design -- 2.1 Ultrasonic Atomization -- 2.2 Rapid Actuator Design -- 2.3 Mini Soft-Robot Design -- 3 Intelligent Control -- 3.1 Neuro-Fuzzy Architecture -- 3.2 Adaptation Algorithm -- 4 Experimental Results -- 5 Conclusions -- References -- Data-driven-modelling and Control for a Class of Discrete-Time Robotic System Using an Adaptive Tuning for Pseudo Jacobian Matrix Algorithm -- 1 Introduction -- 2 Data-driven Model for Discrete-Time System -- 2.1 Equivalent Model Stability Analysis -- 2.2 Neuro-fuzzy Network and Adaptive Step Parameter -- 3 Control Law -- 4 Results -- 5 Conclusions -- References -- Retrieval-based Statistical Chatbot in a Scientometric Domain -- 1 Introduction -- 2 Methodology -- 2.1 Natural Language Processing -- 2.2 Intent ; Classificaiton and Entity Extraction -- 2.3 Data Labeling -- 2.4 Model Training -- 2.5 Scientometric Indicator Identification -- 2.6 Natural Language Transformation into Cypher Query -- 2.7 Chatbot Deployment -- 3 Results and Discussion -- 3.1 Goal Completion Rate -- 3.2 Survey Evaluation -- 4 Conclusion -- References.; Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection.

Lexical semantics and diachronic morphology [[electronic resource] ] : the development of -hood, -dom and -ship in the history of English / / Carola Trips

• Record Nr.: UNINA9910778601303321
• Autore: Trips Carola
• Pubbl/distr/stampa: Tübingen, : Max Niemeyer Verlag, 2009
• ISBN: 1-282-29634-5; 9786612296345; 3-484-97131-2
• Descrizione fisica: 1 online resource (277 p.)
• Collana: Linguistische Arbeiten, , 0344-6727 ; ; 527
• Classificazione: HE 230
• Disciplina: 425.92
• Soggetti: English language - Word formation - History; English language - Suffixes and prefixes; English language - Semantics, Historical; Historical lexicology
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 247-254) and index.
• Nota di contenuto: Frontmatter -- Table of Contents -- List of Tables -- List of Abbreviations and Acronyms -- 1. Introduction -- 2. The development of suffixes -- 3. Frequency, productivity and creativity -- 4. The data -- 5. -hood, -dom and -ship as rivals in word formation processes -- 6. A lexical-semantic analysis of word-formations with -hood, -dom and -ship -- 7. Theoretical consequences of morphological change -- 8. Conclusion -- Backmatter
• Sommario/riassunto: This book is the most comprehensive study to date of the development of the three suffixes -hood, -dom and -ship in the history of English. ; Based on data from annotated corpora it provides an in depth investigation from Old English to Modern English and shows that structurally the three suffixes developed from syntactic heads (nouns) via morphological heads in compounds to morphological heads in derivations. Being an instance of morphologisation the rise of suffixes clearly shows that word formation is not part of the syntactic module. This development is triggered by semantic change, more precisely, by the semantics of the elements which keep their salient meanings and develop further meanings through metonymic shifts, finally leading to underspecified meanings. The findings are analysed in a revised version of Lieber's (2004) framework to account for the diachronic facts and have far-reaching consequences for morphological theory since they show that derivational suffixes bear meaning and hence contribute to processes of lexicalisation which is clear evidence for sign-based models and against, for example, Separationist assumptions.