Papers by Sanja Stajner
Automatic Text Simplification for Social Good: Progress and Challenges (2021.findings-acl)
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| Challenge: | ATS has been promoted as a natural language processing task since the 1990s . but since 2010, the field has been focusing on building complex end-to-end neural architectures based on ATS . |
| Approach: | They propose to use automated text simplification (ATS) to make texts more accessible to people with disabilities . they argue that lack of high-quality TS datasets and standardized evaluation procedures are barriers . |
| Outcome: | The proposed neural ATS systems are based on a new set of TS datasets and a standardized evaluation procedure. |
When Shallow is Good Enough: Automatic Assessment of Conceptual Text Complexity using Shallow Semantic Features (2020.lrec-1)
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| Challenge: | Existing approaches to automatic assessment of text complexity focus on syntactic and lexical complexity. |
| Approach: | They propose to use graph-based deep semantic features to automatically assess conceptual text complexity by using DBpedia as a proxy to human knowledge. |
| Outcome: | The proposed features outperform the state-of-the-art features on pairwise comparison of two versions of the same text and five-level classification task. |
What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts (2021.acl-short)
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| Challenge: | 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. |
| Approach: | They propose to model a task that automatically detects three basic needs on short posts in English and then apply them to a binary task. |
| Outcome: | The proposed model achieves similar performance as a trained human annotator in the real-world. |
Why Is MBTI Personality Detection from Texts a Difficult Task? (2021.eacl-main)
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| Challenge: | Automatic detection of the four MBTI personality dimensions from texts has attracted noticeable attention from the natural language processing and computational linguistic communities. |
| Approach: | They propose to use a questionnaire-based personality assessment to provide more objective assessment of one's personality than traditional questionnaires. |
| Outcome: | The proposed systems rarely outperform the majority-class baseline despite large datasets and high levels of noise in training datasets. |
CoCo: A Tool for Automatically Assessing Conceptual Complexity of Texts (2020.lrec-1)
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| Challenge: | Traditional text complexity assessment only takes into account lexical and lexiconal complexity. |
| Approach: | They propose a tool for automatic assessment of conceptual text complexity based on the current state-of-the-art unsupervised approach . they compare the current implementation with the state of the art and discuss the influence of the choice of entity linker on the performance of the tool. |
| Outcome: | The proposed tool can be personalized and adapted to the needs of struggling readers. |
Emotion Analysis from Texts (2023.eacl-tutorials)
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| Challenge: | Emotion analysis in text is a field of research that encompasses a set of various natural language processing tasks. |
| Approach: | This tutorial provides an overview of research from emotion psychology . it discusses the use cases of emotion analysis in text, their societal impact and ethical considerations . |
| Outcome: | This paper provides an overview of research from emotion psychology which sets the ground for choosing adequate NLP methodology. |
A Survey of Automatic Personality Detection from Texts (2020.coling-main)
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| Challenge: | Personality profiling has long been used in psychology to predict life outcomes. |
| Approach: | They present the trajectory of automatic personality detection from purely psychology approaches to the latest purely natural language processing approaches on large social media datasets. |
| Outcome: | The proposed models have been compared with the most recent approaches on large social media datasets. |