Search Results for author: Gustavo Paetzold

Found 26 papers, 2 papers with code

Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective

1 code implementation23 Nov 2022 Mateus Karvat Camara, Adriana Postal, Tomas Henrique Maul, Gustavo Paetzold

Despite the great impact of lies in human societies and a meager 54% human accuracy for Deception Detection (DD), Machine Learning systems that perform automated DD are still not viable for proper application in real-life settings due to data scarcity.

Deception Detection

UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis

no code implementations WS 2018 Gustavo Paetzold

We introduce the UTFPR system for the Implicit Emotions Shared Task of 2018: A compositional character-to-word recurrent neural network that does not exploit heavy and/or hard-to-obtain resources.

Emotion Recognition

Lexi: A tool for adaptive, personalized text simplification

no code implementations COLING 2018 Joachim Bingel, Gustavo Paetzold, Anders S{\o}gaard

Most previous research in text simplification has aimed to develop generic solutions, assuming very homogeneous target audiences with consistent intra-group simplification needs.

Lexical Simplification Text Simplification

MASSAlign: Alignment and Annotation of Comparable Documents

no code implementations IJCNLP 2017 Gustavo Paetzold, Fern Alva-Manchego, o, Lucia Specia

We introduce MASSAlign: a Python library for the alignment and annotation of monolingual comparable documents.

The Ultimate Presentation Makeup Tutorial: How to Polish your Posters, Slides and Presentations Skills

no code implementations IJCNLP 2017 Gustavo Paetzold, Lucia Specia

There is no question that our research community have, and still has been producing an insurmountable amount of interesting strategies, models and tools to a wide array of problems and challenges in diverse areas of knowledge.

Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs

1 code implementation IJCNLP 2017 Fern Alva-Manchego, o, Joachim Bingel, Gustavo Paetzold, Carolina Scarton, Lucia Specia

Current research in text simplification has been hampered by two central problems: (i) the small amount of high-quality parallel simplification data available, and (ii) the lack of explicit annotations of simplification operations, such as deletions or substitutions, on existing data.

Machine Translation Sentence Compression +1

Lexical Simplification with Neural Ranking

no code implementations EACL 2017 Gustavo Paetzold, Lucia Specia

We present a new Lexical Simplification approach that exploits Neural Networks to learn substitutions from the Newsela corpus - a large set of professionally produced simplifications.

Complex Word Identification Information Retrieval +3

Anita: An Intelligent Text Adaptation Tool

no code implementations COLING 2016 Gustavo Paetzold, Lucia Specia

We introduce Anita: a flexible and intelligent Text Adaptation tool for web content that provides Text Simplification and Text Enhancement modules.

Lexical Simplification Text Simplification

Collecting and Exploring Everyday Language for Predicting Psycholinguistic Properties of Words

no code implementations COLING 2016 Gustavo Paetzold, Lucia Specia

Exploring language usage through frequency analysis in large corpora is a defining feature in most recent work in corpus and computational linguistics.

Text Simplification

Benchmarking Lexical Simplification Systems

no code implementations LREC 2016 Gustavo Paetzold, Lucia Specia

Lexical Simplification is the task of replacing complex words in a text with simpler alternatives.

Benchmarking Lexical Simplification

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