no code implementations • 4 Mar 2024 • Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang
Webpage entity extraction is a fundamental natural language processing task in both research and applications.
1 code implementation • 10 Apr 2022 • Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding
Our pre-training framework consists of the following components: (1) Intra-modal Denoising Auto-Encoding (IDAE), which is able to reconstruct input text (audio) representations from a noisy version of itself.
1 code implementation • 3 Apr 2022 • Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu
In this paper, we theoretically demonstrate that ESMM suffers from the following two problems: (1) Inherent Estimation Bias (IEB), where the estimated CVR of ESMM is inherently higher than the ground truth; (2) Potential Independence Priority (PIP) for CTCVR estimation, where there is a risk that the ESMM overlooks the causality from click to conversion.
1 code implementation • EMNLP 2021 • Hang Li, Yu Kang, Tianqiao Liu, Wenbiao Ding, Zitao Liu
Existing audio-language task-specific predictive approaches focus on building complicated late-fusion mechanisms.
1 code implementation • 15 Jul 2021 • Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu
Sentence completion (SC) questions present a sentence with one or more blanks that need to be filled in, three to five possible words or phrases as options.
1 code implementation • EMNLP 2021 • Tianqiao Liu, Qiang Fang, Wenbiao Ding, Hang Li, Zhongqin Wu, Zitao Liu
There is an increasing interest in the use of mathematical word problem (MWP) generation in educational assessment.
no code implementations • 1 Aug 2019 • Wenbiao Ding, Guowei Xu, Tianqiao Liu, Weiping Fu, Yujia Song, Chaoyou Guo, Cong Kong, Songfan Yang, Gale Yan Huang, Zitao Liu
In our offline experiments, we show that Dolphin improves both phonological fluency and semantic relevance evaluation performance when compared to state-of-the-art baselines on real-world educational data sets.
1 code implementation • 18 Jul 2019 • Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
In modern recommender systems, both users and items are associated with rich side information, which can help understand users and items.