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Qixiang Fang
Qixiang Fang
Verified email at uu.nl
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An open source machine learning framework for efficient and transparent systematic reviews
R Van De Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ...
Nature machine intelligence 3 (2), 125-133, 2021
5652021
Missing information, unresponsive authors, experimental flaws: The impossibility of assessing the reproducibility of previous human evaluations in NLP
A Belz, C Thomson, E Reiter, G Abercrombie, JM Alonso-Moral, M Arvan, ...
arXiv preprint arXiv:2305.01633, 2023
392023
Assessing the reliability of word embedding gender bias measures
Y Du, Q Fang, D Nguyen
arXiv preprint arXiv:2109.04732, 2021
332021
ASReview: active learning for systematic reviews
R Van de Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ...
Zenodo. Dec 20, 2021
182021
Evaluating the construct validity of text embeddings with application to survey questions
Q Fang, D Nguyen, DL Oberski
EPJ Data Science 11 (1), 39, 2022
172022
An open source machine learning framework for efficient and transparent systematic reviews. Nat Mach Intell 3: 125–133
R van de Schoot, J de Bruin, R Schram, P Zahedi, J de Boer, F Weijdema, ...
172021
An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3 (2), 125-133
R Van de Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ...
142021
Approximate measurement invariance of willingness to sacrifice for the environment across 30 countries: The importance of prior distributions and their visualization
I Arts, Q Fang, R van de Schoot, K Meitinger
Frontiers in Psychology 12, 624032, 2021
122021
The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response
Q Fang, J Burger, R Meijers, K van Berkel
Survey Research Methods 15 (1), 2021
92021
Ondřej Plátek, Verena Rieser, Jie Ruan, Joel Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, and Diyi Yang. 2023. Missing information, unresponsive authors …
A Belz, C Thomson, E Reiter, G Abercrombie, JM Alonso-Moral, M Arvan, ...
Proceedings of the Fourth Workshop on Insights from Negative Results in NLP …, 0
9
An open source machine learning framework for efficient and transparent systematic reviews. Nat Mach Intell. 2021; 3 (2): 125–33
R Van De Schoot, J De Bruin, R Schram, P Zahedi, J De Boer, ...
9
On text-based personality computing: Challenges and future directions
Q Fang, A Giachanou, A Bagheri, L Boeschoten, EJ van Kesteren, ...
Findings of the Association for Computational Linguistics: ACL 2023, 10861-10879, 2023
82023
Challenges in reproducing human evaluation results for role-oriented dialogue summarization
T Ito, Q Fang, P Mosteiro, A Gatt, K van Deemter
Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems, 97-123, 2023
62023
Towards adaptive social comparison for education
S Sosnovsky, Q Fang, B de Vries, S Luehof, F Wiegant
Addressing Global Challenges and Quality Education: 15th European Conference …, 2020
62020
On text-based personality computing: Challenges and future directions
Q Fang, A Giachanou, A Bagheri, L Boeschoten, EJ van Kesteren, ...
arXiv preprint arXiv:2212.06711, 2022
52022
Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions
C Fang, Q Fang, D Nguyen
arXiv preprint arXiv:2302.13925, 2023
32023
Intro to Discrete-Time Survival Analysis in R
Q Fang, R Van de Schoot
32019
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat
Q Fang, Z Zhou, F Barbieri, Y Liu, L Neves, D Nguyen, DL Oberski, ...
arXiv preprint arXiv:2312.12111, 2023
22023
Modelling stance detection as textual entailment recognition and leveraging measurement knowledge from social sciences
Q Fang, A Giachanou, A Bagheri
arXiv preprint arXiv:2212.06543, 2022
22022
PATCH--Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency
Q Fang, DL Oberski, D Nguyen
arXiv preprint arXiv:2404.01799, 2024
12024
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