no code implementations • 3 Mar 2024 • Jingshen Zhang, Jiajun Xie, Xinying Qiu
Item difficulty plays a crucial role in adaptive testing.
no code implementations • 24 Nov 2022 • Xinying Qiu, Guofeng Shi
While for fixed expressions with no special meaning, static embedding with random initialization is sufficient for cloze test model.
no code implementations • 24 Nov 2022 • Xinying Qiu, Shuxuan Liao, Jiajun Xie, Jian-Yun Nie
In this paper, we propose a novel approach to extract and represent essay coherence features with prompt-learning NSP that shows to match the state-of-the-art AES coherence model, and achieves the best performance for long essays.
no code implementations • 6 Apr 2022 • Yingwen Fu, Jinyi Chen, Nankai Lin, Xixuan Huang, Xinying Qiu, Shengyi Jiang
The Yunshan Cup 2020 track focused on creating a framework for evaluating different methods of part-of-speech (POS).
no code implementations • ACL 2021 • Xinying Qiu, Yuan Chen, Hanwu Chen, Jian-Yun Nie, Yuming Shen, Dawei Lu
Deep learning models for automatic readability assessment generally discard linguistic features traditionally used in machine learning models for the task.
no code implementations • WS 2016 • Xinying Qiu, Gangqin Zhu
We present a research on learning Indonesian-Chinese bilingual lexicon using monolingual word embedding and bilingual seed lexicons to build shared bilingual word embedding space.