توضیحاتی در مورد کتاب Computational Processing of the Portuguese Language
نام کتاب : Computational Processing of the Portuguese Language
عنوان ترجمه شده به فارسی : پردازش محاسباتی زبان پرتغالی
سری :
نویسندگان : Vládia Pinheiro, Pablo Gamallo, Raquel Amaro, Carolina Scarton, Fernando Batista, Diego Silva, Catarina Magro, Hugo Pinto
ناشر : Springer
سال نشر : 2022
تعداد صفحات : 447
ISBN (شابک) : 9783030983048 , 9783030983055
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 25 مگابایت
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توضیحاتی در مورد کتاب :
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فهرست مطالب :
Preface
Organization
Contents
Resources and Evaluation
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition
1 Introduction
2 Related Work
3 Method
3.1 Semantic Classes
3.2 Annotation Process
4 The UlyssesNER-Br Corpus
4.1 PL-corpus
4.2 ST-corpus
4.3 Evaluation
4.4 Results and Discussion
5 Conclusion and Future Works
References
A Test Suite for the Evaluation of Portuguese-English Machine Translation
1 Introduction
2 Related Work
3 Method
3.1 Creation of the Test Suite
3.2 Limitations of the Method
3.3 Experimental Setup
4 Findings
4.1 Overall Performance of MT Systems
4.2 BLEU vs. Test Suite Scores
4.3 Categories
4.4 Phenomena
4.5 Qualitative Analysis
5 Conclusion
References
MINT - Mainstream and Independent News Text Corpus
1 Introduction
2 Related Work
3 Corpus Organization
3.1 MINT-articles
3.2 MINT-annotations
4 Corpus Characterization
4.1 Linguistic Characterization
4.2 Insights from Crowdsourced Annotations
5 Conclusion
References
Fakepedia Corpus: A Flexible Fake News Corpus in Portuguese
1 Introduction
2 Related Work
3 Our Proposal: Fakepedia Corpus
4 Experiments and Results
5 Conclusion
References
A Targeted Assessment of the Syntactic Abilities of Transformer Models for Galician-Portuguese
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Experiments and Data
3.2 Models
3.3 Evaluation
4 Results and Discussion
5 Conclusions and Further Work
References
FakeRecogna: A New Brazilian Corpus for Fake News Detection
1 Introduction
2 Related Works
3 FakeRecogna Corpus
4 Methodology
4.1 Pre-processing
4.2 Text Representation
4.3 Classifiers
4.4 Evaluating Measures
4.5 Additional Experiments
5 Experimental Results
5.1 No Removal of Words
5.2 Augmentation Study
6 Conclusions and Future Works
References
Implicit Opinion Aspect Clues in Portuguese Texts: Analysis and Categorization
1 Introduction
2 Related Work
3 Data and Methods
3.1 Methods
3.2 Datasets
3.3 Identification of IACs
3.4 Lexicons of IACs
3.5 Categorization of IACs
4 Results
5 Final Remarks
References
CRPC-DB a Discourse Bank for Portuguese
1 Introduction
2 Related Work
3 The CRPC-DB
3.1 Raw Corpus and Pre-processing
3.2 Annotation Scheme
3.3 Annotation Process
4 Inter-Annotator Agreement Experiment
5 Final Remarks
References
Challenges in Annotating a Treebank of Clinical Narratives in Brazilian Portuguese
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Data Preparation
3.2 Corpus Characteristics
3.3 Decisions Made in the Annotation Process
4 Results
5 Discussion
6 Conclusion
References
PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese
1 Introduction
2 Related Works
3 Proposed Work
4 Experimental Evaluation and Discussion
4.1 Experiment I - NER
4.2 Experiment II - Sentence Classification
5 Conclusions and Future Works
References
SS-PT: A Stance and Sentiment Data Set from Portuguese Quoted Tweets
1 Introduction
2 Related Work
3 Corpus
3.1 Data Collection
3.2 Guidelines
3.3 Annotation Procedure
3.4 Balancing the Corpus
3.5 Descriptive Statistics
4 Baseline Experiment
5 Conclusion
References
Natural Language Processing Tasks
ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling
1 Introduction
2 Background and Related Work
3 Proposed Method
3.1 0shot-TC Task Formalization
3.2 ZeroBERTo
4 Experiments
5 Discussion and Future Work
References
Banking Regulation Classification in Portuguese
1 Introduction
2 Related Works
3 The Application
3.1 The Corpus
3.2 The Architecture
4 Discussion, Results and Future Work
5 Conclusions
References
Automatic Information Extraction: A Distant Reading of the Brazilian Historical-Biographical Dictionary
1 Introduction
2 Information Extraction
3 Methodology
4 Extraction Evaluation
5 Distant Reading DHBB
6 Final Considerations
References
Automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks
1 Introduction
2 Related Works
3 Methodology
3.1 Materials
3.2 Dataset
3.3 Data Preparation
3.4 Training and Test
4 Results and Discussion
4.1 General Analysis
4.2 Analysis of Errors
5 Conclusions
References
Entity Extraction from Portuguese Legal Documents Using Distant Supervision
1 Introduction
2 Related Work
3 Entity Extraction System
4 Experimental Results
4.1 Dataset and Evaluation Metric
4.2 Best Model Results
4.3 DAM: Role-Specific Threshold
4.4 Assessment of DAM Components
5 Conclusion
References
Sexist Hate Speech: Identifying Potential Online Verbal Violence Instances
1 Introduction
2 Background
2.1 The Campos Mello Case
3 The Linguistic-Computational Interface
4 Computational Approaches to Support Hate Speech Identification Through Linguistic Characteristics
4.1 Fallacies in Intolerant Speech
5 Final Remarks
References
Book Genre Classification Based on Reviews of Portuguese-Language Literature
1 Introduction
2 Related Work
3 Genre Classification Methodology
3.1 Data
3.2 Reviews Preprocessing
3.3 Book Genre Classification
3.4 Evaluation
4 Experiments and Results
5 Conclusion and Future Work
References
Combining Word Embeddings for Portuguese Named Entity Recognition
1 Introduction
2 Related Work
3 Resources
3.1 Corpora
3.2 Word Embedding Models
3.3 NER Classification Model
4 Experiments
4.1 Experimental Setup
4.2 Experimental Results
5 Conclusion
References
BERT for Sentiment Analysis: Pre-trained and Fine-Tuned Alternatives
1 Introduction
2 Related Work
3 Datasets
4 Models
4.1 Pre-trained BERT
4.2 Fine-Tuned BERT
5 Results and Discussion
5.1 Pre-trained BERT
5.2 Fine-Tuned BERT
5.3 Cross-model Comparison
6 Conclusion
References
Fostering Judiciary Applications with New Fine-Tuned Models for Legal Named Entity Recognition in Portuguese
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Fine-Tuned Legal NER
3.2 Prototype Application
4 Results and Discussion
4.1 Fine-Tuned Legal NER
4.2 Prototype Application
5 Conclusion
References
Natural Language Processing Applications
Using Topic Modeling in Classification of Brazilian Lawsuits
1 Introduction
2 Related Works
3 Corpus and Data Preparation
3.1 Corpus and Golden Collection
3.2 Integration with the Brazilian Legal Knowledge Graph
4 Topic Modeling in Legal Documents
4.1 Pre-processing
4.2 Topic Generation
4.3 Converting Topics to Feature Vectors
5 Experiments
5.1 Experimental Setup
5.2 Models
5.3 Experimental Results and Analysis
6 Conclusions
References
PortNOIE: A Neural Framework for Open Information Extraction for the Portuguese Language
1 Introduction
2 Related Work
3 PortNOIE
3.1 Problem Definition
3.2 Architecture
4 Experiments
4.1 Datasets
4.2 Experimental Design
4.3 Results
4.4 Ablation and Discussion
5 Conclusion and Future Work
References
Tracking Environmental Policy Changes in the Brazilian Federal Official Gazette
1 Introduction
2 Methods
2.1 Data Preparation
2.2 Experiment Description
3 Results
4 Conclusion and Future Work
References
A Transfer Learning Analysis of Political Leaning Classification in Cross-domain Content
1 Introduction
2 Related Work
3 Data Collection
4 Experiments
4.1 Congressional Speeches Classification
4.2 Transfer Learning Classification
4.3 Transfer Learning Decay over Time
5 Discussion
6 Limitations and Future Work
References
Integrating Question Answering and Text-to-SQL in Portuguese
1 Introduction
2 Background and Tools
3 Proposed Architecture
4 Question Answering Datasets
5 Experiments
5.1 Classifier
5.2 Question Answering Reasoner
6 Results and Analyses
7 Conclusion
References
Named Entity Extractors for New Domains by Transfer Learning with Automatically Annotated Data
1 Introduction
2 Related Work
3 Method
3.1 Datasets
3.2 BERT-Based Classifiers for Entity Detection
4 Results
5 Conclusion
5.1 Future Work
References
PTT5-Paraphraser: Diversity and Meaning Fidelity in Automatic Portuguese Paraphrasing
1 Introduction
2 Related Work
3 The PTT5-Paraphraser
4 Evaluating Paraphrasers
4.1 Evaluation by Computational Metrics
4.2 Human Evaluation
5 Data Augmentation Experiment
6 Conclusions
References
Speech Processing and Applications
A Protocol for Comparing Gesture and Prosodic Boundaries in Multimodal Corpora
1 Gesture and Prosody Alignment Background
1.1 The Alignment and Its Types
1.2 The Language into Act Theory
1.3 BGEST Corpus Overview
2 Script Outline
3 Results and Discussion
References
Forced Phonetic Alignment in Brazilian Portuguese Using Time-Delay Neural Networks
1 Introduction
2 Model Training and Evaluation Tests
2.1 Evaluation Speech Corpus
2.2 Simulation Overview
3 Results and Discussion
4 Conclusion
References
Brazilian Portuguese Speech Recognition Using Wav2vec 2.0
1 Introduction
2 Wav2vec
3 ASRs for Brazilian Portuguese
4 Datasets and Experiments
5 Results and Discussion
6 Conclusions
References
A Corpus of Neutral Voice Speech in Brazilian Portuguese
1 Introduction
1.1 Related Works
2 Objectives
3 Dataset
3.1 Text
3.2 Recordings
3.3 Data Structure
3.4 Statistics
3.5 Data Access
4 Applications
5 Experiments
6 Conclusion
References
Comparing Lexical and Usage Frequencies of Palatal Segments in Portuguese
1 Introduction
2 Methods
3 Results
3.1 Context-Free Frequency
3.2 Word Position Frequency
3.3 Left Adjacent Vowel Frequency
4 Discussion
References
Lexical Semantics
Extracting Valences from a Dependency Treebank for Populating the Verb Lexicon of a Portuguese HPSG Grammar
1 Introduction
2 Valence Encoding in PorGram
3 Universal Dependencies and the UD Bosque Treebank
4 From Dependency Information to Valence Types
5 Final Remarks
References
CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian
1 Introduction
1.1 General Methodology
2 Specialized Lexical Units Extraction: Frequency Analysis Wrt Reference Corpora
2.1 CORPORART vs Monitor Corpora: Data Analysis and Results
3 Concordances Analysis Through Lexical-Syntactic Patterns
3.1 Knowledge Patterns and Sketch Grammar
3.2 Lexical-Syntactic Patterns Evaluation and Discussion
4 Final Remarks and Future Work
References
Drilling Lexico-Semantic Knowledge in Portuguese from BERT
1 Introduction
2 Related Work
3 Experimentation Setup
3.1 Considerations on the Patterns
3.2 Dataset
3.3 Metrics
3.4 Baselines
4 Performance with Different Patterns
4.1 Single Patterns for Non-symmetric Relations
4.2 Combining the Best Patterns
5 Conclusions
References
Short Papers
The Systematic Construction of Multiple Types of Corpora Through the Lapelinc Framework
1 Introduction
2 The Lapelinc Framework
3 Use of the Lapelinc Framework for the Systematic Construction of Multiple Types of Corpora of Portuguese
4 Conclusions
References
Revisiting CCNet for Quality Measurements in Galician
1 Introduction
2 Background and Related Work
3 Methodology
4 Analysis and Results
4.1 Error Analysis
4.2 Heuristics
5 Conclusion and Future Work
References
Identifying Literary Characters in Portuguese
1 Identifying Characters in Literary Text
1.1 Brief Motivation from Literary Studies
1.2 Motivation from Computer Science Studies
2 Previous Work
3 The DIP Setup
References
Should I Buy or Should I Pass: E-Commerce Datasets in Portuguese
1 Introduction
2 Related Works
3 Dataset Creation
3.1 Data Statistics
3.2 Creating the Dataset
4 Baseline Results
4.1 Methodology
4.2 Results
5 Final Thoughts
References
Best MsC/MA and PhD Dissertation
Abstract Meaning Representation Parsing for the Brazilian Portuguese Language
1 Introduction
2 The AMR-Annotated Corpus
3 AMR Parsing
4 The Evaluation Measure
5 The Alignment
6 Final Remarks
References
Enriching Portuguese Word Embeddings with Visual Information
1 Introduction
2 Objectives and Related Work
3 Methodology
4 Findings
5 Impact and Conclusions
References
Author Index
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