no code implementations • 19 Apr 2024 • Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua
Recent research on proactive conversational agents (PCAs) mainly focuses on improving the system's capabilities in anticipating and planning action sequences to accomplish tasks and achieve goals before users articulate their requests.
no code implementations • 7 Apr 2024 • Libo Qin, Qiguang Chen, YuHang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu
To this end, in this paper, we present a thorough review and provide a unified perspective to summarize the recent progress as well as emerging trends in multilingual large language models (MLLMs) literature.
1 code implementation • 2 Apr 2024 • Shasha Guo, Lizi Liao, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen
Knowledge base question generation (KBQG) aims to generate natural language questions from a set of triplet facts extracted from KB.
no code implementations • 26 Mar 2024 • Yuxiang Nie, Heyan Huang, Xian-Ling Mao, Lizi Liao
Specifically, IDPT decouples initiative factors into different prefix parameters and uses the attention mechanism to adjust the selection of initiatives in guiding generation dynamically.
no code implementations • 16 Mar 2024 • Tianhao Dai, Chengyu Huang, Lizi Liao
Existing neural response generation models have achieved impressive improvements for two-party conversations, which assume that utterances are sequentially organized.
no code implementations • 5 Mar 2024 • Zixuan Li, Lizi Liao, Tat-Seng Chua
In this paper, we propose a dual-learning model that hybrids the best from both implicit session feedback and proactively clarifying with users on the most critical questions.
no code implementations • 5 Mar 2024 • Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua
In this work, we delve into deep session data understanding via scrutinizing the various clues inside the rich information in user sessions.
no code implementations • 28 Feb 2024 • Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua
In this survey, we present a detailed examination of the advancements in Neural Question Generation (NQG), a field leveraging neural network techniques to generate relevant questions from diverse inputs like knowledge bases, texts, and images.
1 code implementation • 23 Dec 2023 • Li Zheng, Hao Fei, Fei Li, Bobo Li, Lizi Liao, Donghong Ji, Chong Teng
With the proliferation of dialogic data across the Internet, the Dialogue Commonsense Multi-choice Question Answering (DC-MCQ) task has emerged as a response to the challenge of comprehending user queries and intentions.
no code implementations • 15 Nov 2023 • Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li
End-to-end task-oriented dialogue (EToD) can directly generate responses in an end-to-end fashion without modular training, which attracts escalating popularity.
no code implementations • 17 Aug 2023 • Zhonghua Zheng, Lizi Liao, Yang Deng, Liqiang Nie
The integration of emotional support into various conversational scenarios presents profound societal benefits, such as social interactions, mental health counseling, and customer service.
no code implementations • 8 Aug 2023 • Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Chong Teng, Tat-Seng Chua, Donghong Ji, Fei Li
On the other hand, during the feature fusion stage, we propose a Contribution-aware Fusion Mechanism (CFM) and a Context Refusion Mechanism (CRM) for multimodal and context integration, respectively.
Ranked #5 on Emotion Recognition in Conversation on IEMOCAP
1 code implementation • 3 Jul 2023 • Cheng Chen, Yong Wang, Lizi Liao, Yueguo Chen, Xiaoyong Du
Given a limited labeling budget, active learning (AL) aims to sample the most informative instances from an unlabeled pool to acquire labels for subsequent model training.
no code implementations • 6 Jun 2023 • Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji
Conversation utterances are essentially organized and described by the underlying discourse, and thus dialogue disentanglement requires the full understanding and harnessing of the intrinsic discourse attribute.
1 code implementation • 23 May 2023 • Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, Tat-Seng Chua
Conversational systems based on Large Language Models (LLMs), such as ChatGPT, show exceptional proficiency in context understanding and response generation.
1 code implementation • 6 May 2023 • Yuxia Wu, Tianhao Dai, Zhedong Zheng, Lizi Liao
Existing task-oriented conversational search systems heavily rely on domain ontologies with pre-defined slots and candidate value sets.
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
The rapid development of aspect-based sentiment analysis (ABSA) within recent decades shows great potential for real-world society.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
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 • SIGIR 2021 • Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua
Second, a set of benchmark results for dialogue state tracking, conversational recommendation, response generation as well as a unified model for multiple tasks are reported.
Ranked #2 on Dialogue State Tracking on MMConv
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 [1] 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, 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 • 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 • 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.
43 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