1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2022
Modeling Multi-Granularity Hierarchical Features for Relation Extraction
Xinnian Liang, Shuangzhi Wu, Mu Li +1
Relation extraction is a key task in Natural Language Processing (NLP), which aims to extract relations between entity pairs from given texts. Recently, relation extraction (RE) ha…
cs.CL2021
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
Xinnian Liang, Shuangzhi Wu, Mu Li +1
Embedding based methods are widely used for unsupervised keyphrase extraction (UKE) tasks. Generally, these methods simply calculate similarities between phrase embeddings and docu…
cs.CL2020★ 1 cited
StyleDGPT: Stylized Response Generation with Pre-trained Language Models
Ze Yang, Wei Wu, Can Xu +5
Generating responses following a desired style has great potentials to extend applications of open-domain dialogue systems, yet is refrained by lacking of parallel data for trainin…