Papers by Qixiang Fang
On Text-based Personality Computing: Challenges and Future Directions (2023.findings-acl)
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Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel Oberski
| Challenge: | Text-based personality computing (TPC) is a popular alternative to self-report questionnaires. |
| Approach: | They propose 15 challenges that are relevant to NLP research . they propose to combine perspectives from both NLP and social sciences . |
| Outcome: | The proposed approach is based on text-based personality computing (TPC) the proposed approach can be used to improve the quality of personality-based research. |
Assessing the Reliability of Word Embedding Gender Bias Measures (2021.emnlp-main)
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| Challenge: | Various measures have been proposed to quantify human-like social biases in word embeddings, but they can suffer from measurement error. |
| Approach: | They propose to assess the reliability of word embedding gender bias measures by examining their reliability across different choices of random seeds, scoring rules and words. |
| Outcome: | The proposed measures can suffer from measurement error, and the results inform better design of word embedding gender bias measures. |