no code implementations • EMNLP 2021 • Zhiyuan Zeng, Jiaze Chen, Weiran Xu, Lei LI
Based on the artificial dataset, we train an evaluation model that can not only make accurate and robust factual consistency discrimination but is also capable of making interpretable factual errors tracing by backpropagated gradient distribution on token embeddings.
1 code implementation • 27 May 2023 • Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao, Xinyu Dai
In this paper, we introduce a new dataset, named DMASTE, which is manually annotated to better fit real-world scenarios by providing more diverse and realistic reviews for the task.
no code implementations • 21 Oct 2021 • Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei LI
In this paper, we present a large-scale Chinese news summarization dataset CNewSum, which consists of 304, 307 documents and human-written summaries for the news feed.
1 code implementation • Findings (NAACL) 2022 • Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei LI
We introduce MTG, a new benchmark suite for training and evaluating multilingual text generation.
1 code implementation • Findings (ACL) 2021 • Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei LI
In this paper, we propose PRobr, a novel approach for joint answer prediction and proof generation.
no code implementations • 27 Jan 2021 • Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei LI
Our proposed model is simple yet effective: by using bidword as the bridge between search query and advertisement, the generation of search query, advertisement and bidword can be jointly learned in the triangular training framework.
1 code implementation • 6 Jan 2021 • Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei LI
Previous approaches focus on the taxonomy expansion, i. e. finding an appropriate hypernym concept from the taxonomy for a new query concept.
1 code implementation • 25 Dec 2020 • Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei LI
The final claim verification is based on all latent variables.
no code implementations • ACL 2020 • Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yu-Ping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei LI
This paper proposes the building of Xiaomingbot, an intelligent, multilingual and multimodal software robot equipped with four integral capabilities: news generation, news translation, news reading and avatar animation.
1 code implementation • WS 2019 • Yao Fu, Hao Zhou, Jiaze Chen, Lei LI
We apply this framework to existing datasets and models and show that: (1) the pivot words are strong features for the classification of sentence attributes; (2) to change the attribute of a sentence, many datasets only requires to change certain pivot words; (3) consequently, many transfer models only perform the lexical-level modification, while leaving higher-level sentence structures unchanged.
1 code implementation • EMNLP 2018 • Haoyue Shi, Hao Zhou, Jiaze Chen, Lei LI
To study the effectiveness of different tree structures, we replace the parsing trees with trivial trees (i. e., binary balanced tree, left-branching tree and right-branching tree) in the encoders.
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