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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
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.
UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis
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.
UTFPR at WMT 2018: Minimalistic Supervised Corpora Filtering for Machine Translation
We present the UTFPR systems at the WMT 2018 parallel corpus filtering task.
Lexi: A tool for adaptive, personalized text simplification
Most previous research in text simplification has aimed to develop generic solutions, assuming very homogeneous target audiences with consistent intra-group simplification needs.
MASSAlign: Alignment and Annotation of Comparable Documents
We introduce MASSAlign: a Python library for the alignment and annotation of monolingual comparable documents.
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs
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.
Ranked #8 on
Text Simplification
on PWKP / WikiSmall
(SARI metric)
The Ultimate Presentation Makeup Tutorial: How to Polish your Posters, Slides and Presentations Skills
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.
Complex Word Identification: Challenges in Data Annotation and System Performance
This paper revisits the problem of complex word identification (CWI) following up the SemEval CWI shared task.
Lexical Simplification with Neural Ranking
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.
Collecting and Exploring Everyday Language for Predicting Psycholinguistic Properties of Words
Exploring language usage through frequency analysis in large corpora is a defining feature in most recent work in corpus and computational linguistics.
Quality Estimation for Language Output Applications
The goal of QE is to estimate the quality of language output applications without the need of human references.
Anita: An Intelligent Text Adaptation Tool
We introduce Anita: a flexible and intelligent Text Adaptation tool for web content that provides Text Simplification and Text Enhancement modules.
Understanding the Lexical Simplification Needs of Non-Native Speakers of English
We report three user studies in which the Lexical Simplification needs of non-native English speakers are investigated.
Benchmarking Lexical Simplification Systems
Lexical Simplification is the task of replacing complex words in a text with simpler alternatives.
