87 citations · 267 across the 7 of their papers we have counts for
7 papers
Low-Resource Knowledge-Grounded Dialogue Generation
Xueliang Zhao, Wei Wu, Chongyang Tao +3
Responding with knowledge has been recognized as an important capability for an intelligent conversational agent. Yet knowledge-grounded dialogues, as training data for learning su…
Product-Aware Answer Generation in E-Commerce Question-Answering
Shen Gao, Zhaochun Ren, Yihong Eric Zhao +3
In e-commerce portals, generating answers for product-related questions has become a crucial task. In this paper, we propose the task of product-aware answer generation, which tend…
Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao, Xiuying Chen, Piji Li +4
In neural abstractive summarization field, conventional sequence-to-sequence based models often suffer from summarizing the wrong aspect of the document with respect to the main as…
Neural Emoji Recommendation in Dialogue Systems
Ruobing Xie, Zhiyuan Liu, Rui Yan +1
Emoji is an essential component in dialogues which has been broadly utilized on almost all social platforms. It could express more delicate feelings beyond plain texts and thus smo…
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems
Yiping Song, Rui Yan, Xiang Li +2
Open-domain human-computer conversation has attracted much attention in the field of NLP. Contrary to rule- or template-based domain-specific dialog systems, open-domain conversati…
Dialogue Session Segmentation by Embedding-Enhanced TextTiling
Yiping Song, Lili Mou, Rui Yan +4
In human-computer conversation systems, the context of a user-issued utterance is particularly important because it provides useful background information of the conversation. Howe…