no code implementations • 15 Dec 2023 • Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao, Liqiang Nie
Existing sign language translation methods follow a two-stage pipeline: first converting the sign language video to a gloss sequence (i. e. Sign2Gloss) and then translating the generated gloss sequence into a spoken language sentence (i. e. Gloss2Text).
no code implementations • 27 Jun 2023 • Yuhao Cui, Xiongwei Wang, Zhongzhou Zhao, Wei Zhou, Haiqing Chen
However, these high-level semantic probabilities are often inaccurate and unsmooth at the phoneme level, leading to bias in learning.
no code implementations • 5 May 2023 • Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie
This task is non-trivial, due to three challenges: the logic of the generated text, unstructured style reference, and biased training samples.
no code implementations • 18 Apr 2023 • Haolan Zhan, Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Haiqing Chen
Specifically, tabular data and persona information are firstly represented as latent variables separately.
1 code implementation • ICCV 2023 • Yanzhao Zheng, Yunzhou Shi, Yuhao Cui, Zhongzhou Zhao, Zhiling Luo, Wei Zhou
To address this issue, we propose a novel framework called COOP (DeCOupling and COupling of Whole-Body GrasPing Pose Generation) to synthesize life-like whole-body poses that cover the widest range of human grasping capabilities.
no code implementations • 6 Oct 2022 • Xiong Junwu, Xiaoyun Feng, Yunzhou Shi, James Zhang, Zhongzhou Zhao, Wei Zhou
Our proposed framework learns through real-time interactions between the digital human and customers dynamically through the state-of-art RL algorithms, combined with multimodal embedding and graph embedding, to improve the accuracy of personalization and thus enable the digital human agent to timely catch the attention of the customer.
no code implementations • 24 Jan 2022 • Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, Zhongzhou Zhao
Moreover, we can summarize a preferred attribute profile for each user, depicting his/her preferred item attributes.
no code implementations • 13 Sep 2021 • Guohai Xu, Hehong Chen, Feng-Lin Li, Fu Sun, Yunzhou Shi, Zhixiong Zeng, Wei Zhou, Zhongzhou Zhao, Ji Zhang
Live streaming is becoming an increasingly popular trend of sales in E-commerce.
no code implementations • 18 Aug 2021 • Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen
With these two synergic representations, we then regroup these phrases into a fine-grained plan, based on which we generate the final long text.
no code implementations • 17 Aug 2021 • Shaobo Cui, Xintong Bao, Xuming Lin, Zhongzhou Zhao, Ji Zhang, Wei Zhou, Haiqing Chen
Each one-to-one mapping is associated with a conditional generation pattern and is modeled with an expert in SPMoE.
1 code implementation • 16 Aug 2021 • Yuhao Cui, Zhou Yu, Chunqi Wang, Zhongzhou Zhao, Ji Zhang, Meng Wang, Jun Yu
Nevertheless, most existing VLP approaches have not fully utilized the intrinsic knowledge within the image-text pairs, which limits the effectiveness of the learned alignments and further restricts the performance of their models.
no code implementations • 24 Feb 2021 • Shaobo Cui, Xintong Bao, Xinxing Zu, Yangyang Guo, Zhongzhou Zhao, Ji Zhang, Haiqing Chen
This pipeline approach, however, is undesired in mining the most appropriate QA pairs from documents since it ignores the connection between question generation and answer extraction, which may lead to incompatible QA pair generation, i. e., the selected answer span is inappropriate for question generation.
no code implementations • 27 May 2020 • Zehao Lin, Shaobo Cui, Guodun Li, Xiaoming Kang, Feng Ji, FengLin Li, Zhongzhou Zhao, Haiqing Chen, Yin Zhang
More specifically, we take advantage of a decision model to help the dialogue system decide whether to wait or answer.
no code implementations • 22 Feb 2020 • Zehao Lin, Shaobo Cui, Guodun Li, Xiaoming Kang, Feng Ji, FengLin Li, Zhongzhou Zhao, Haiqing Chen, Yin Zhang
And the arbitrator decides whether to wait or to make a response to the user directly.
no code implementations • 28 Nov 2018 • Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
To address this problem, we develop a novel deep cascade learning model, which progressively evolves from the document-level and paragraph-level ranking of candidate texts to more precise answer extraction with machine reading comprehension.
Ranked #2 on Question Answering on MS MARCO
no code implementations • 1 May 2018 • Zheng Zhang, Minlie Huang, Zhongzhou Zhao, Feng Ji, Haiqing Chen, Xiaoyan Zhu
Dialogue management (DM) decides the next action of a dialogue system according to the current dialogue state, and thus plays a central role in task-oriented dialogue systems.
no code implementations • 12 Jan 2018 • Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu
We present AliMe Assist, an intelligent assistant designed for creating an innovative online shopping experience in E-commerce.