1 code implementation • 10 Nov 2022 • Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji
In this work, we introduce a novel task of conversational aspect-based sentiment quadruple analysis, namely DiaASQ, aiming to detect the sentiment quadruple of target-aspect-opinion-sentiment in a dialogue.
no code implementations • 27 Oct 2022 • Chengyu Huang, Zheng Zhang, Hao Fei, Lizi Liao
Conversation disentanglement aims to group utterances into detached sessions, which is a fundamental task in processing multi-party conversations.
1 code implementation • ACM SIGIR Conference on Research and Development in Information Retrieval 2022 • Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua
Existing approaches either 1) predict structured dialog acts first and then generate natural response; or 2) map conversation context to natural responses directly in an end-to-end manner.
no code implementations • 29 Sep 2021 • Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua
The core is to construct a latent content space for strategy optimization and disentangle the surface style from it.
1 code implementation • 25 May 2021 • Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai
This companion paper supports the replication of the fashion trend forecasting experiments with the KERN (Knowledge Enhanced Recurrent Network) method that we presented in the ICMR 2020.
no code implementations • 7 May 2021 • Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua
Towards insightful fashion trend forecasting, previous work  proposed to analyze more fine-grained fashion elements which can informatively reveal fashion trends.
no code implementations • 27 May 2020 • Lizi Liao, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua
Tracking dialogue states to better interpret user goals and feed downstream policy learning is a bottleneck in dialogue management.
1 code implementation • 7 May 2020 • Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua
Further-more, to effectively model the time series data of fashion elements with rather complex patterns, we propose a Knowledge EnhancedRecurrent Network model (KERN) which takes advantage of the capability of deep recurrent neural networks in modeling time-series data.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang
Most existing approaches for goal-oriented dialogue policy learning used reinforcement learning, which focuses on the target agent policy and simply treat the opposite agent policy as part of the environment.
no code implementations • 12 Aug 2019 • Yunshan Ma, Lizi Liao, Tat-Seng Chua
Fashion knowledge plays a pivotal role in helping people in their dressing.
no code implementations • 12 Aug 2019 • Yunshan Ma, Xun Yang, Lizi Liao, Yixin Cao, Tat-Seng Chua
We unify three tasks of occasion, person and clothing discovery from multiple modalities of images, texts and metadata.
no code implementations • 25 Jun 2019 • Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua
When traveling to a foreign country, we are often in dire need of an intelligent conversational agent to provide instant and informative responses to our various queries.
41 code implementations • WWW 2017 • Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua
When it comes to model the key factor in collaborative filtering -- the interaction between user and item features, they still resorted to matrix factorization and applied an inner product on the latent features of users and items.
1 code implementation • 14 May 2017 • Lizi Liao, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
For social networks, besides the network structure, there also exists rich information about social actors, such as user profiles of friendship networks and textual content of citation networks.
Social and Information Networks