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> Professor Wai LAM
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Professor LAM Wai
Personal Information
Position and Department
Professor
,
Department of Systems Engineering and Engineering Management
ORCiD
0000-0001-5479-377X
CUHK Research Outputs
1 of 5
AMR Parsing via Graph <-> Sequence Iterative Inference
(
2020
)
Information Retrieval Technology - 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, China, November 7–9, 2019, Proceedings
(
2020
)
Review-based Question Generation with Adaptive Instance Transfer and Augmentation
(
2020
)
Review-guided Helpful Answer Identification in E-commerce
(
2020
)
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
(
2019
)
Compressive Multi-document Summarization with Sense-level Concepts
(
2019
)
Context-Aware Helpfulness Prediction for Online Product Reviews
(
2019
)
Core Semantic First: A Top-down Approach for AMR Parsing
(
2019
)
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank
(
2019
)
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
(
2019
)
Fact Discovery from Knowledge Base via Facet Decomposition
(
2019
)
Persona-Aware Tips Generation
(
2019
)
Reader Comment Digest through Latent Event Facets and News Specificity
(
2019
)
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory
(
2019
)
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
(
2019
)
Word Embedding as Maximum A Posteriori Estimation
(
2019
)
A Learning Framework for Information Block Search Based on Probabilistic Graphical Models and Fisher Kernel
(
2018
)
Aspect Term Extraction with History Attention and Selective Transformation
(
2018
)
CUIS Team at TREC 2018 CAR Track
(
2018
)
Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content
(
2018
)
Entity Retrieval via Type Taxonomy Aware Smoothing
(
2018
)
Guiding Approximate Text Classification Rules via Context Information
(
2018
)
Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks
(
2018
)
Learning a Unified Embedding Space of Web Search from Large-scale Query Log
(
2018
)
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
(
2018
)
QuaSE: Sequence Editing under Quantifiable Guidance
(
2018
)
Responding E-commerce Product Questions via Exploiting QA Collections and Review Collections and Reviews
(
2018
)
Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects
(
2018
)
Transformation Networks for Target-Oriented Sentiment Classification
(
2018
)
A new hybrid method for learning bayesian networks: Separation and reunion
(
2017
)
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization
(
2017
)
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction
(
2017
)
Deep Recurrent Generative Decoder for Abstractive Text Summarization
(
2017
)
Exploiting Interactions of Review Text, Hidden User Communities and Item Groups, and Time for Collaborative Filtering
(
2017
)
Jointly Learning Word Embeddings and Latent Topics
(
2017
)
Neural Rating Regression with Abstractive Tips Generation for Recommendation
(
2017
)
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset
(
2017
)
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization
(
2017
)
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern
(
2017
)
CUIS at the NTCIR-12 MobileClick2 Task
(
2016
)
Detecting Common Discussion Topics Across Culture From News Reader Comments
(
2016
)
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity
(
2016
)
Exploring Influence Among Participants for Event Recommendation
(
2016
)
Multilingual Viewpoint Detection from news comments
(
2016
)
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews
(
2016
)
Whether this participant will attract you to this event? Exploiting Participant Influence for Event Recommendation
(
2016
)
Abstractive multi-document summarization via phrase selection and merging
(
2015
)
Abstract Venue Concept Detection from Location-Based Social Networks
(
2015
)
Adaptive Concept Resolution for document representation and its applications in text mining
(
2015
)
A unified model for unsupervised opinion spamming detection incorporating text generality?
(
2015
)
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