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Found 10 papers, 1 papers with code
Exploring Reliability of Gold Labels for Emotion Detection in Twitter
Emotion detection from social media posts has attracted noticeable attention from natural language processing (NLP) community in recent years.
How to Obtain Reliable Labels for MBTI Classification from Texts?
Automatic detection of the Myers-Briggs Type Indicator (MBTI) from short posts attracted noticeable attention in the last few years.
Lexical Simplification Benchmarks for English, Portuguese, and Spanish
To showcase the usability of the dataset, we adapt two state-of-the-art lexical simplification systems with differing architectures (neural vs.\ non-neural) to all three languages (English, Spanish, and Brazilian Portuguese) and evaluate their performances on our new dataset.
What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts
According to the self-determination theory, the levels of satisfaction of three basic needs (competence, autonomy and relatedness) have implications on people{'}s everyday life and career.
Why Is MBTI Personality Detection from Texts a Difficult Task?
Automatic detection of the four MBTI personality dimensions from texts has recently attracted noticeable attention from the natural language processing and computational linguistic communities.
A Survey of Automatic Personality Detection from Texts
Personality profiling has long been used in psychology to predict life outcomes.
CoCo: A Tool for Automatically Assessing Conceptual Complexity of Texts
Traditional text complexity assessment usually takes into account only syntactic and lexical text complexity.
When Shallow is Good Enough: Automatic Assessment of Conceptual Text Complexity using Shallow Semantic Features
We find that the shallow features achieve state-of-the-art results on both tasks, significantly outperforming performances of the deep semantic features on the five-level classification task.
