1 code implementation • 26 Jun 2023 • Chen Li, Xutan Peng, Teng Wang, Yixiao Ge, Mengyang Liu, Xuyuan Xu, Yexin Wang, Ying Shan
Art forms such as movies and television (TV) dramas are reflections of the real world, which have attracted much attention from the multimodal learning community recently.
no code implementations • 19 Jun 2023 • Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, JianXin Li
Multi-Modal Relation Extraction (MMRE) aims at identifying the relation between two entities in texts that contain visual clues.
no code implementations • 28 Nov 2022 • Xutan Peng, YiPeng Zhang, Jingfeng Yang, Mark Stevenson
Although it has been demonstrated that Natural Language Processing (NLP) algorithms are vulnerable to deliberate attacks, the question of whether such weaknesses can lead to software security threats is under-explored.
2 code implementations • 9 Oct 2021 • Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, JianXin Li
Event Extraction bridges the gap between text and event signals.
no code implementations • 7 Oct 2021 • Ruizhe Li, Xutan Peng, Chenghua Lin
In this paper, we provide the first focused study on the discontinuities (aka.
no code implementations • 29 Sep 2021 • Ruizhe Li, Xutan Peng, Chenghua Lin
In this paper, we provide the first focused study on the discontinuities (aka.
1 code implementation • NAACL 2021 • Xutan Peng, Chenghua Lin, Mark Stevenson
It is therefore recommended that this strategy be adopted as a standard for CLWE methods.
1 code implementation • 11 Apr 2021 • Xutan Peng, Chenghua Lin, Mark Stevenson
It is therefore recommended that this strategy be adopted as a standard for CLWE methods.
1 code implementation • NAACL 2021 • Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson
Knowledge Graph Embeddings (KGEs) have been intensively explored in recent years due to their promise for a wide range of applications.
1 code implementation • EACL 2021 • Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan
We introduce the task of historical text summarisation, where documents in historical forms of a language are summarised in the corresponding modern language.
1 code implementation • 10 Jun 2020 • Chen Li, Xutan Peng, Hao Peng, Jian-Xin Li, Lihong Wang, Philip S. Yu, Lifang He
Recently, graph-based algorithms have drawn much attention because of their impressive success in semi-supervised setups.
1 code implementation • 2 Apr 2020 • Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li
The technique of Cross-Lingual Word Embedding (CLWE) plays a fundamental role in tackling Natural Language Processing challenges for low-resource languages.
1 code implementation • 14 Oct 2018 • Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang
By treating relations and multi-hop paths as two different input sources, we use a feature extractor, which is shared by two downstream components (i. e. relation classifier and source discriminator), to capture shared/similar information between them.
1 code implementation • arXiv preprint 2018 • Xutan Peng, Chen Li, Zhi Cai, Faqiang Shi, Yidan Liu, JianXin Li
In this paper, we initiate a novel system for transferring the texture of music, and release it as an open source project.