4 citations · 9 across the 4 of their papers we have counts for
9 papers
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Yang Deng, Yuexiang Xie, Yaliang Li +3
Answer selection, which is involved in many natural language processing applications such as dialog systems and question answering (QA), is an important yet challenging task in pra…
Multi-hop Inference for Question-driven Summarization
Yang Deng, Wenxuan Zhang, Wai Lam
Question-driven summarization has been recently studied as an effective approach to summarizing the source document to produce concise but informative answers for non-factoid quest…
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
Yang Deng, Wenxuan Zhang, Wai Lam
Product-related question answering (QA) is an important but challenging task in E-Commerce. It leads to a great demand on automatic review-driven QA, which aims at providing instan…
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling
Wenxuan Zhang, Yang Deng, Wai Lam
Many E-commerce sites now offer product-specific question answering platforms for users to communicate with each other by posting and answering questions during online shopping. Ho…
Review-guided Helpful Answer Identification in E-commerce
Wenxuan Zhang, Wai Lam, Yang Deng +1
Product-specific community question answering platforms can greatly help address the concerns of potential customers. However, the user-provided answers on such platforms often var…
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Yang Deng, Wai Lam, Yuexiang Xie +4
Community question answering (CQA) gains increasing popularity in both academy and industry recently. However, the redundancy and lengthiness issues of crowdsourced answers limit t…