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20192024
most citedModeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables

3 citations · 6 across the 6 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2024

Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues

Shilin Qu, Weiqing Wang, Xin Zhou +6

Sociocultural norms serve as guiding principles for personal conduct in social interactions, emphasizing respect, cooperation, and appropriate behavior, which is able to benefit ta…

cs.CL2021

Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization

Lei Shen, Haolan Zhan, Xin Shen +3

Being able to reply with a related, fluent, and informative response is an indispensable requirement for building high-quality conversational agents. In order to generate better re…

cs.CL20211 cited

Probing Product Description Generation via Posterior Distillation

Haolan Zhan, Hainan Zhang, Hongshen Chen +5

In product description generation (PDG), the user-cared aspect is critical for the recommendation system, which can not only improve user's experiences but also obtain more clicks.…

cs.CL20212 cited

Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation

Lei Shen, Haolan Zhan, Xin Shen +1

Open-domain multi-turn conversations mainly have three features, which are hierarchical semantic structure, redundant information, and long-term dependency. Grounded on these, sele…

cs.CL20193 cited

Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables

Lei Shen, Yang Feng, Haolan Zhan

Multi-turn conversations consist of complex semantic structures, and it is still a challenge to generate coherent and diverse responses given previous utterances. It's practical th…