no code implementations • 5 Mar 2024 • Dong Yao, Asaad Alghamdi, Qingrong Xia, Xiaoye Qu, Xinyu Duan, Zhefeng Wang, Yi Zheng, Baoxing Huai, Peilun Cheng, Zhou Zhao
Although DC-Match is a simple yet effective method for semantic matching, it highly depends on the external NER techniques to identify the keywords of sentences, which limits the performance of semantic matching for minor languages since satisfactory NER tools are usually hard to obtain.
no code implementations • 19 Feb 2024 • Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
Self-Supervised Contrastive Learning has proven effective in deriving high-quality representations from unlabeled data.
no code implementations • 4 Jan 2024 • Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, Dangyang Chen
Temporal Knowledge Graph (TKG) is an extension of regular knowledge graph by attaching the time scope.
1 code implementation • 26 Dec 2023 • Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen
Recently, prompt-tuning with pre-trained language models (PLMs) has demonstrated the significantly enhancing ability of relation extraction (RE) tasks.
1 code implementation • 9 Nov 2023 • Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang
Sharing knowledge between information extraction tasks has always been a challenge due to the diverse data formats and task variations.
1 code implementation • 6 Nov 2023 • Shengkai Sun, Daizong Liu, Jianfeng Dong, Xiaoye Qu, Junyu Gao, Xun Yang, Xun Wang, Meng Wang
In this manner, our framework is able to learn the unified representations of uni-modal or multi-modal skeleton input, which is flexible to different kinds of modality input for robust action understanding in practical cases.
1 code implementation • 22 Oct 2023 • Zhenyi Lu, Wei Wei, Xiaoye Qu, Xianling Mao, Dangyang Chen, Jixiong Chen
Subsequently, we employ a conditional variational auto-encoder to align with the dense personalized responses within a latent joint attribute space.
1 code implementation • 20 Jul 2023 • Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen
TREA constructs a multi-hierarchical scalable tree as the reasoning structure to clarify the causal relationships between mentioned entities, and fully utilizes historical conversations to generate more reasonable and suitable responses for recommended results.
1 code implementation • 17 May 2023 • Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu
As the attribute-specific similarity typically corresponds to the specific subtle regions of images, we propose a Region-to-Patch Framework (RPF) that consists of a region-aware branch and a patch-aware branch to extract fine-grained attribute-related visual features for precise retrieval in a coarse-to-fine manner.
no code implementations • 6 May 2023 • Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
This paper addresses the temporal sentence grounding (TSG).
no code implementations • 7 Feb 2023 • Xiaoye Qu, Yingjie Gu, Qingrong Xia, Zechang Li, Zhefeng Wang, Baoxing Huai
In this paper, we provide a comprehensive review of the development of Arabic NER, especially the recent advances in deep learning and pre-trained language model.
1 code implementation • ICCV 2023 • Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu
During the knowledge distillation, an inheritance student branch is devised to absorb the knowledge from the teacher model.
1 code implementation • 13 Dec 2022 • Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou
Distantly-Supervised Named Entity Recognition (DS-NER) effectively alleviates the data scarcity problem in NER by automatically generating training samples.
no code implementations • 27 Jul 2022 • Daizong Liu, Xiaoye Qu, Wei Hu
In this paper, we study the above issue of selection biases and accordingly propose a Debiasing-TSG (D-TSG) model to filter and remove the negative biases in both vision and language modalities for enhancing the model generalization ability.
no code implementations • Findings (NAACL) 2022 • Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan
Recent years have witnessed the improving performance of Chinese Named Entity Recognition (NER) from proposing new frameworks or incorporating word lexicons.
Chinese Named Entity Recognition named-entity-recognition +3
1 code implementation • 23 Jan 2022 • Jianfeng Dong, Yabing Wang, Xianke Chen, Xiaoye Qu, Xirong Li, Yuan He, Xun Wang
In this work, we concentrate on video representation learning, an essential component for text-to-video retrieval.
no code implementations • 14 Jan 2022 • Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou
Temporal video grounding (TVG) aims to localize a target segment in a video according to a given sentence query.
no code implementations • 3 Jan 2022 • Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou
To tackle this issue, we propose a memory-augmented network, called Memory-Guided Semantic Learning Network (MGSL-Net), that learns and memorizes the rarely appeared content in TSG tasks.
no code implementations • 3 Jan 2022 • Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu
Then, we develop separate motion and appearance branches to learn motion-guided and appearance-guided object relations, respectively.
1 code implementation • 11 Dec 2021 • Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang
Most previous studies of document-level event extraction mainly focus on building argument chains in an autoregressive way, which achieves a certain success but is inefficient in both training and inference.
Ranked #3 on Document-level Event Extraction on ChFinAnn
no code implementations • EMNLP 2021 • Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou
However, the performance of bottom-up model is inferior to the top-down counterpart as it fails to exploit the segment-level interaction.
no code implementations • EMNLP 2021 • Daizong Liu, Xiaoye Qu, Pan Zhou
A key solution to temporal sentence grounding (TSG) exists in how to learn effective alignment between vision and language features extracted from an untrimmed video and a sentence description.
no code implementations • 27 Jul 2021 • Zhikang Zou, Xiaoye Qu, Pan Zhou, Shuangjie Xu, Xiaoqing Ye, Wenhao Wu, Jin Ye
In specific, at the coarse-grained stage, we design a dual-discriminator strategy to adapt source domain to be close to the targets from the perspectives of both global and local feature space via adversarial learning.
1 code implementation • CVPR 2021 • Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie
This paper addresses the problem of temporal sentence grounding (TSG), which aims to identify the temporal boundary of a specific segment from an untrimmed video by a sentence query.
1 code implementation • 18 Feb 2021 • Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji
In this paper, we focus on the cross-modal similarity measurement, and propose a novel Hierarchical Similarity Learning (HSL) network.
no code implementations • 2 Feb 2021 • Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Yabing Wang, Pan Zhou, Baolong Liu, Xun Wang
The language-based setting of this task allows for an open set of target activities, resulting in a large variation of the temporal lengths of video moments.
no code implementations • 7 Jan 2021 • Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui
Entity linking (EL) for the rapidly growing short text (e. g. search queries and news titles) is critical to industrial applications.
no code implementations • COLING 2020 • Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou
In this paper, we propose a novel deep rectification-modulation network (RMN), transforming this task into a multi-step reasoning process by repeating rectification and modulation.
no code implementations • 6 Aug 2020 • Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou
In this paper, we propose a Fine-grained Iterative Attention Network (FIAN) that consists of an iterative attention module for bilateral query-video in-formation extraction.
1 code implementation • 4 Aug 2020 • Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu
To this end, we propose a novel Cross- and Self-Modal Graph Attention Network (CSMGAN) that recasts this task as a process of iterative messages passing over a joint graph.
no code implementations • 12 Aug 2019 • Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou
Recently, convolutional neural networks (CNNs) are the leading defacto method for crowd counting.
no code implementations • 7 Aug 2019 • Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
ACM-CNN consists of three types of modules: a coarse network, a fine network, and a smooth network.
no code implementations • NAACL 2019 • Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou
Cross-domain sentiment classification aims to predict sentiment polarity on a target domain utilizing a classifier learned from a source domain.