activity
20182026
most citedLearning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog

9 citations · 25 across the 7 of their papers we have counts for

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10 papers · 1 filter

cs.CL2023

SSP: Self-Supervised Post-training for Conversational Search

Quan Tu, Shen Gao, Xiaolong Wu +3

Conversational search has been regarded as the next-generation search paradigm. Constrained by data scarcity, most existing methods distill the well-trained ad-hoc retriever to the…

cs.CL20222 cited

Neural Machine Translation with Contrastive Translation Memories

Xin Cheng, Shen Gao, Lemao Liu +2

Retrieval-augmented Neural Machine Translation models have been successful in many translation scenarios. Different from previous works that make use of mutually similar but redund…

cs.CL20209 cited

Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog

Shen Gao, Xiuying Chen, Li Liu +2

Stickers with vivid and engaging expressions are becoming increasingly popular in online messaging apps, and some works are dedicated to automatically select sticker response by ma…

cs.CL20205 cited

From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information

Shen Gao, Xiuying Chen, Zhaochun Ren +2

Text summarization is the research area aiming at creating a short and condensed version of the original document, which conveys the main idea of the document in a few words. This…

cs.CL2020

Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog

Shen Gao, Xiuying Chen, Chang Liu +3

Stickers with vivid and engaging expressions are becoming increasingly popular in online messaging apps, and some works are dedicated to automatically select sticker response by ma…

cs.CL20193 cited

RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search

Xiuying Chen, Daorui Xiao, Shen Gao +5

Sponsored search optimizes revenue and relevance, which is estimated by Revenue Per Mille (RPM). Existing sponsored search models are all based on traditional statistical models, w…