no code implementations • 4 Jun 2024 • Shixuan Fan, Wei Wei, Xiaofei Wen, Xianling Mao, Jixiong Chen, Dangyang Chen
Recently, the topic-grounded dialogue (TGD) system has become increasingly popular as its powerful capability to actively guide users to accomplish specific tasks through topic-guided conversations.
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 • 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 • 23 Aug 2022 • Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen
Endowing chatbots with a consistent personality plays a vital role for agents to deliver human-like interactions.
1 code implementation • 23 Feb 2022 • Sen Zhao, Wei Wei, Ding Zou, Xianling Mao
Specifically, MIDGN disentangles the user's intents from two different perspectives, respectively: 1) In the global level, MIDGN disentangles the user's intent coupled with inter-bundle items; 2) In the Local level, MIDGN disentangles the user's intent coupled with items within each bundle.
no code implementations • 6 Jun 2021 • Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu
The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions.
no code implementations • 2 Jun 2021 • Zanbo Wang, Wei Wei, Xianling Mao, Shanshan Feng, Pan Zhou, Zhiyong He, Sheng Jiang
To this end, we propose a model called Global Context enhanced Document-level NER (GCDoc) to leverage global contextual information from two levels, i. e., both word and sentence.
no code implementations • 15 Nov 2020 • Wei Wei, Jiayi Liu, Xianling Mao, Guibin Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng
The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions.
no code implementations • 13 Nov 2020 • Zhiyong He, Zanbo Wang, Wei Wei, Shanshan Feng, Xianling Mao, Sheng Jiang
Sequence labeling (SL) is a fundamental research problem encompassing a variety of tasks, e. g., part-of-speech (POS) tagging, named entity recognition (NER), text chunking, etc.
no code implementations • 21 Oct 2020 • Puhai Yang, Heyan Huang, Xianling Mao
Scalability for handling unknown slot values is a important problem in dialogue state tracking (DST).