activity
20182022
most citedTowards Standard Criteria for human evaluation of Chatbots: A Survey

10 citations · 24 across the 4 of their papers we have counts for

collaborators

7 papers

cs.IR20229 cited

Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy

Wenqiang Lei, Yao Zhang, Feifan Song +5

Proactive dialogue system is able to lead the conversation to a goal topic and has advantaged potential in bargain, persuasion and negotiation. Current corpus-based learning manner…

cs.CL202110 cited

Towards Standard Criteria for human evaluation of Chatbots: A Survey

Hongru Liang, Huaqing Li

Human evaluation is becoming a necessity to test the performance of Chatbots. However, off-the-shelf settings suffer the severe reliability and replication issues partly because of…

cs.CL2021

A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics

Hongru Liang, Haozheng Wang, Qian Li +5

Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, d…

cs.AI20205 cited

Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Yao Zhang, Xu Zhang, Jun Wang +5

Developing link prediction models to automatically complete knowledge graphs has recently been the focus of significant research interest. The current methods for the link predicti…

cs.SD2020

PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music

Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan +3

Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today. Analogous to natural language, music can be modeled as a…

cs.AI2020

GMH: A General Multi-hop Reasoning Model for KG Completion

Yao Zhang, Hongru Liang, Adam Jatowt +4

Knowledge graphs are essential for numerous downstream natural language processing applications, but are typically incomplete with many facts missing. This results in research effo…