Qixiang Fang

According to our database, Qixiang Fang authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

USE: Dynamic User Modeling with Stateful Sequence Models.

Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch

CoRR, 2024

2023

Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat.

Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch

CoRR, 2023

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP.

Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang

CoRR, 2023

Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions.

Christian Fang, Qixiang Fang, Dong Nguyen

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

On Text-based Personality Computing: Challenges and Future Directions.

Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Evaluating the construct validity of text embeddings with application to survey questions.

Qixiang Fang, Dong Nguyen, Daniel L. Oberski

EPJ Data Sci., 2022

Modelling Stance Detection as Textual Entailment Recognition and Leveraging Measurement Knowledge from Social Sciences.

Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri

CoRR, 2022

2021

An open source machine learning framework for efficient and transparent systematic reviews.

Rens van de Schoot, Jonathan de Bruin, Raoul Schram, Parisa Zahedi, Jan de Boer, Felix Weijdema, Bianca Kramer, Martijn Huijts, Maarten Hoogerwerf, Gerbrich Ferdinands, Albert Harkema, Joukje Willemsen, Yongchao Ma, Qixiang Fang, Sybren Hindriks, Lars Tummers, Daniel L. Oberski

Nat. Mach. Intell., 2021

Assessing the Reliability of Word Embedding Gender Bias Measures.

Yupei Du, Qixiang Fang, Dong Nguyen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response.

Qixiang Fang, Joep Burger, Ralph Meijers, Kees van Berkel

CoRR, 2020

ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews.

Rens van de Schoot, Jonathan de Bruin, Raoul Schram, Parisa Zahedi, Jan de Boer, Felix Weijdema, Bianca Kramer, Martijn Huijts, Maarten Hoogerwerf, Gerbrich Ferdinands, Albert Harkema, Joukje Willemsen, Yongchao Ma, Qixiang Fang, Lars Tummers, Daniel L. Oberski

CoRR, 2020

Towards Adaptive Social Comparison for Education.

Sergey A. Sosnovsky, Qixiang Fang, Benjamin de Vries, Sven Luehof, Fred Wiegant

Proceedings of the Addressing Global Challenges and Quality Education, 2020