554 citations · 1.6k across the 46 of their papers we have counts for
17 papers · 1 filter
STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
Shuo Liang, Wei Wei, Xian-Ling Mao +3
Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task in sentiment analysis research, aiming to extract triplets of the aspect term, its corresponding opinion term…
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
Ruihan Zhang, Wei Wei, Xian-Ling Mao +2
Conventional event detection models under supervised learning settings suffer from the inability of transfer to newly-emerged event types owing to lack of sufficient annotations. A…
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network
Yuxiang Nie, Heyan Huang, Wei Wei +1
Long document question answering is a challenging task due to its demands for complex reasoning over long text. Previous works usually take long documents as non-structured flat te…
Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue
Xiaofei Wen, Wei Wei, Xian-Ling Mao
Recently, topic-grounded dialogue system has attracted significant attention due to its effectiveness in predicting the next topic to yield better responses via the historical cont…
Unsupervised Hashing with Semantic Concept Mining
Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin +5
Recently, to improve the unsupervised image retrieval performance, plenty of unsupervised hashing methods have been proposed by designing a semantic similarity matrix, which is bas…
Multi-level Contrastive Learning Framework for Sequential Recommendation
Ziyang Wang, Huoyu Liu, Wei Wei +5
Sequential recommendation (SR) aims to predict the subsequent behaviors of users by understanding their successive historical behaviors. Recently, some methods for SR are devoted t…
Improving Personality Consistency in Conversation by Persona Extending
Yifan Liu, Wei Wei, Jiayi Liu +3
Endowing chatbots with a consistent personality plays a vital role for agents to deliver human-like interactions. However, existing personalized approaches commonly generate respon…
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning
Ding Zou, Wei Wei, Ziyang Wang +4
Incorporating Knowledge Graphs (KG) into recommeder system has attracted considerable attention. Recently, the technical trend of Knowledge-aware Recommendation (KGR) is to develop…
Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks
Ziyang Wang, Wei Wei, Chenwei Xu +2
Existing online recruitment platforms depend on automatic ways of conducting the person-job fit, whose goal is matching appropriate job seekers with job positions. Intuitively, the…
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
Zezhi Shao, Zhao Zhang, Wei Wei +4
We all depend on mobility, and vehicular transportation affects the daily lives of most of us. Thus, the ability to forecast the state of traffic in a road network is an important…
Relational Triple Extraction: One Step is Enough
Yu-Ming Shang, Heyan Huang, Xin Sun +2
Extracting relational triples from unstructured text is an essential task in natural language processing and knowledge graph construction. Existing approaches usually contain two f…
Declaration-based Prompt Tuning for Visual Question Answering
Yuhang Liu, Wei Wei, Daowan Peng +1
In recent years, the pre-training-then-fine-tuning paradigm has yielded immense success on a wide spectrum of cross-modal tasks, such as visual question answering (VQA), in which a…
Cross-Lingual Phrase Retrieval
Heqi Zheng, Xiao Zhang, Zewen Chi +5
Cross-lingual retrieval aims to retrieve relevant text across languages. Current methods typically achieve cross-lingual retrieval by learning language-agnostic text representation…
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Ding Zou, Wei Wei, Xian-Ling Mao +4
Knowledge graph (KG) plays an increasingly important role in recommender systems. Recently, graph neural networks (GNNs) based model has gradually become the theme of knowledge-awa…
BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis
Shuo Liang, Wei Wei, Xian-Ling Mao +2
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity infe…
Multi-view Intent Disentangle Graph Networks for Bundle Recommendation
Sen Zhao, Wei Wei, Ding Zou +1
Bundle recommendation aims to recommend the user a bundle of items as a whole. Nevertheless, they usually neglect the diversity of the user's intents on adopting items and fail to…
Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning
Chenghao Fan, Ziao Li, Wei wei
Text style transfer is a challenging text generation problem, which aims at altering the style of a given sentence to a target one while keeping its content unchanged. Since there…