109 citations · 133 across the 23 of their papers we have counts for
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cs.CL2023
GE-Blender: Graph-Based Knowledge Enhancement for Blender
Xiaolei Lian, Xunzhu Tang, Yue Wang
Although the great success of open-domain dialogue generation, unseen entities can have a large impact on the dialogue generation task. It leads to performance degradation of the m…
cs.CL2022
Moto: Enhancing Embedding with Multiple Joint Factors for Chinese Text Classification
Xunzhu Tang, Rujie Zhu, Tiezhu Sun +1
Recently, language representation techniques have achieved great performances in text classification. However, most existing representation models are specifically designed for Eng…
cs.CL2022
CKG: Dynamic Representation Based on Context and Knowledge Graph
Xunzhu Tang, Tiezhu Sun, Rujie Zhu +1
Recently, neural language representation models pre-trained on large corpus can capture rich co-occurrence information and be fine-tuned in downstream tasks to improve the performa…