Search Results for author: Lizi Liao

Found 15 papers, 6 papers with code

DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

1 code implementation10 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.

Aspect-Based Sentiment Analysis (ABSA) Opinion Mining

Conversation Disentanglement with Bi-Level Contrastive Learning

no code implementations27 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.

Contrastive Learning Conversation Disentanglement +1

Structured and Natural Responses Co-generation for Conversational Search

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.

Conversational Search

Decoupling Strategy and Surface Realization for Task-oriented Dialogues

no code implementations29 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.

Reinforcement Learning (RL) Style Transfer +1

Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting

1 code implementation25 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.

Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media

no code implementations7 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.

Time Series Analysis

Rethinking Dialogue State Tracking with Reasoning

no code implementations27 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.

Dialogue Management Dialogue State Tracking +1

Knowledge Enhanced Neural Fashion Trend Forecasting

1 code implementation7 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.

Time Series Analysis

Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness

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.

Decision Making

Automatic Fashion Knowledge Extraction from Social Media

no code implementations12 Aug 2019 Yunshan Ma, Lizi Liao, Tat-Seng Chua

Fashion knowledge plays a pivotal role in helping people in their dressing.

Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media

no code implementations12 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.

Human Detection

Deep Conversational Recommender in Travel

no code implementations25 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.

Response Generation

Neural Collaborative Filtering

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.

Collaborative Filtering Recommendation Systems

Attributed Social Network Embedding

1 code implementation14 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

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