Natural Language Processing and Information Systems

Table of Contents

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   Book Overview
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   Chapter 1 An Ensemble Approach for Dutch Cross-Domain Hate Speech Detection
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   Chapter 2 Convolutional Graph Neural Networks for Hate Speech Detection in Data-Poor Settings
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   Chapter 3 Network Analysis of German COVID-19 Related Discussions on Telegram
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   Chapter 4 Using Pseudo-Labelled Data for Zero-Shot Text Classification
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   Chapter 5 On-Device Language Detection and Classification of Extreme Short Text from Calendar Titles Across Languages
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   Chapter 6 Transformer-Based Models for the Automatic Indexing of Scientific Documents in French
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   Chapter 7 Uncertainty Detection in Historical Databases
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   Chapter 8 Revisiting the Past to Reinvent the Future: Topic Modeling with Single Mode Factorization
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    Chapter 9 Active Few-Shot Learning with FASL
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    Chapter 10 Identifying Fake News in Brazilian Portuguese
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    Chapter 11 Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers
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    Chapter 12 Metric Learning and Adaptive Boundary for Out-of-Domain Detection
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    Chapter 13 Classifying Documents by Viewpoint Using Word2Vec and Support Vector Machines
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    Chapter 14 Extracting and Understanding Call-to-actions of Push-Notifications
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    Chapter 15 Automated Bug Triaging in a Global Software Development Environment: An Industry Experience
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    Chapter 16 Linguistically Enhanced Text to Sign Gloss Machine Translation
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    Chapter 17 Preprocessing Requirements Documents for Automatic UML Modelling
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    Chapter 18 A Methodology for Enabling NLP Capabilities on Edge and Low-Resource Devices
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    Chapter 19 RUTA:MED – Dual Workflow Medical Speech Transcription Pipeline and Editor
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    Chapter 20 A BERT-Based Model for Question Answering on Construction Incident Reports
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    Chapter 21 Predicting Argument Density from Multiple Annotations
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    Chapter 22 A Decade of Legal Argumentation Mining: Datasets and Approaches
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    Chapter 23 A Text Structural Analysis Model for Address Extraction
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    Chapter 24 Extracting Domain Terms from Data Model Elements
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    Chapter 25 Slot Filling for Extracting Reskilling and Upskilling Options from the Web
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    Chapter 26 Better Exploiting BERT for Few-Shot Event Detection
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    Chapter 27 Named Entity Recognition for Partially Annotated Datasets
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    Chapter 28 Automatic Mapping of Quranic Ontologies Using RML and Cellfie Plugin
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    Chapter 29 Improving Relation Classification Using Relation Hierarchy
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    Chapter 30 A Framework for False Negative Detection in NER/NEL
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    Chapter 31 Zero and Few-Shot Learning for Author Profiling
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    Chapter 32 Profiling Fake News Spreaders on Twitter: A Clickbait and Linguistic Feature Based Scheme
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    Chapter 33 Detecting Early Signs of Depression in the Conversational Domain: The Role of Transfer Learning in Low-Resource Scenarios
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    Chapter 34 Detecting Vaccine Skepticism on Twitter Using Heterogeneous Information Networks
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    Chapter 35 Using Language Models for Classifying the Party Affiliation of Political Texts
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    Chapter 36 Investigating Topic-Agnostic Features for Authorship Tasks in Spanish Political Speeches
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    Chapter 37 Evaluating Gender Bias in Film Dialogue
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    Chapter 38 The Case of Imperfect Negation Cues: A Two-Step Approach for Automatic Negation Scope Resolution
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    Chapter 39 Automatically Computing Connotative Shifts of Lexical Items
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    Chapter 40 Studying the Role of Named Entities for Content Preservation in Text Style Transfer
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    Chapter 41 A BERT-Based Approach for Multilingual Discourse Connective Detection
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    Chapter 42 Using Meaning Instead of Words to Track Topics
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    Chapter 43 Sentence Alignment of Bilingual Survey Texts Applying a Metadata-Aware Strategy
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    Chapter 44 Turning Machine Translation Metrics into Confidence Measures
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    Chapter 45 A Comparison of Transformer-Based Language Models on NLP Benchmarks
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    Chapter 46 Kern: A Labeling Environment for Large-Scale, High-Quality Training Data
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    Chapter 47 Selective Word Substitution for Contextualized Data Augmentation
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    Chapter 48 Data to Value: An ‘Evaluation-First’ Methodology for Natural Language Projects