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Computational Processing of the Portuguese Language

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Cover of 'Computational Processing of the Portuguese Language'

Table of Contents

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    Book Overview
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    Chapter 1 Analyzing the Rhetorical Structure of Opinion Articles in the Context of a Brazilian College Entrance Examination
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    Chapter 2 SMILLE for Portuguese: Annotation and Analysis of Grammatical Structures in a Pedagogical Context
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    Chapter 3 A Corpus Study of Verbal Multiword Expressions in Brazilian Portuguese
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    Chapter 4 Nominal Coreference Resolution Using Semantic Knowledge
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    Chapter 5 Pragmatic Information Extraction in Brazilian Portuguese Documents
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    Chapter 6 Concordance Comparison as a Means of Assembling Local Grammars
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    Chapter 7 Challenges of an Annotation Task for Open Information Extraction in Portuguese
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    Chapter 8 Task-Oriented Evaluation of Dependency Parsing with Open Information Extraction
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    Chapter 9 Portuguese Named Entity Recognition Using LSTM-CRF
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    Chapter 10 Disambiguating Open IE: Identifying Semantic Similarity in Relation Extraction by Word Embeddings
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    Chapter 11 Personality Recognition from Facebook Text
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    Chapter 12 Portuguese Native Language Identification
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    Chapter 13 Text-Image Alignment in Portuguese News Using LinkPICS
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    Chapter 14 When, Where, Who, What or Why? A Hybrid Model to Question Answering Systems
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    Chapter 15 Indexing Names of Persons in a Large Dataset of a Newspaper
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    Chapter 16 ACA - Learning with Alternative Communication
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    Chapter 17 Querying an Ontology Using Natural Language
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    Chapter 18 Automatically Grading Brazilian Student Essays
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    Chapter 19 Analyzing Actions in Play-by-Forum RPG
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    Chapter 20 Technical Implementation of the Vocabulário Ortográfico Comum da Língua Portuguesa
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    Chapter 21 Identifying Intensification Processes in Brazilian Sign Language in the Framework of Brazilian Portuguese Machine Translation
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    Chapter 22 Using a Discourse Bank and a Lexicon for the Automatic Identification of Discourse Connectives
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    Chapter 23 The Other C: Correcting OCR Words in the Presence of Diacritical Marks
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    Chapter 24 Temporal Tagging of Noisy Clinical Texts in Brazilian Portuguese
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    Chapter 25 Syntactic Knowledge for Natural Language Inference in Portuguese
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    Chapter 26 RulingBR: A Summarization Dataset for Legal Texts
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    Chapter 27 Learning Word Embeddings from Portuguese Lexical-Semantic Knowledge Bases
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    Chapter 28 SIMPLEX-PB: A Lexical Simplification Database and Benchmark for Portuguese
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    Chapter 29 Analysing Semantic Resources for Coreference Resolution
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    Chapter 30 Annotation of a Corpus of Tweets for Sentiment Analysis
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    Chapter 31 SICK-BR: A Portuguese Corpus for Inference
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    Chapter 32 LeNER-Br: A Dataset for Named Entity Recognition in Brazilian Legal Text
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    Chapter 33 Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results
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    Chapter 34 Creating a Portuguese Context Sensitive Lexicon for Sentiment Analysis
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    Chapter 35 A Parallel Corpus of Theses and Dissertations Abstracts
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    Chapter 36 Development of a Brazilian Portuguese Hotel’s Reviews Corpus
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    Chapter 37 Aspect Clustering Methods for Sentiment Analysis
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    Chapter 38 Finding Opinion Targets in News Comments and Book Reviews
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    Chapter 39 Semi-supervised Sentiment Annotation of Large Corpora
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    Chapter 40 What Weighs for Word Stress? Big Data Mining and Analyses of Phonotactic Distributions in Brazilian Portuguese
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    Chapter 41 Sentence Segmentation and Disfluency Detection in Narrative Transcripts from Neuropsychological Tests
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    Chapter 42 Imitating Broadcast News Style: Commonalities and Differences Between French and Brazilian Professionals
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    Chapter 43 Automatic Detection of Prosodic Boundaries in Brazilian Portuguese Spontaneous Speech
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    Chapter 44 Inner Speech in Portuguese: Acquisition Methods, Database and First Results
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    Chapter 45 CNN-Based Phonetic Segmentation Refinement with a Cross-Speaker Setup
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    Chapter 46 Tagsets and Datasets: Some Experiments Based on Portuguese Language
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    Chapter 47 Dependency Graphs and TEITOK: Exploiting Dependency Parsing
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    Chapter 48 PassPort: A Dependency Parsing Model for Portuguese
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    Chapter 49 Effective Sequence Labeling with Hybrid Neural-CRF Models
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Title
Computational Processing of the Portuguese Language
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-319-99722-3
ISBNs
978-3-31-999721-6, 978-3-31-999722-3
Editors

Villavicencio, Aline, Moreira, Viviane, Abad, Alberto, Caseli, Helena, Gamallo, Pablo, Ramisch, Carlos, Gonçalo Oliveira, Hugo, Paetzold, Gustavo Henrique

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Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 31%
Student > Bachelor 4 25%
Student > Ph. D. Student 3 19%
Student > Doctoral Student 2 13%
Researcher 1 6%
Other 2 13%
Readers by discipline Count As %
Computer Science 9 56%
Linguistics 2 13%
Engineering 2 13%
Psychology 1 6%
Neuroscience 1 6%
Other 1 6%