5 citations · 7 across the 6 of their papers we have counts for
6 papers · 1 filter
CHisIEC: An Information Extraction Corpus for Ancient Chinese History
Xuemei Tang, Zekun Deng, Qi Su +2
Natural Language Processing (NLP) plays a pivotal role in the realm of Digital Humanities (DH) and serves as the cornerstone for advancing the structural analysis of historical and…
Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction
Xuemei Tang, Jun Wang
Recently, large language models (LLMs) have been successful in relational extraction (RE) tasks, especially in the few-shot learning. An important problem in the field of RE is lon…
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
Xuemei Tang, Jun Wang, Qi Su +2
Sequence labeling models often benefit from incorporating external knowledge. However, this practice introduces data heterogeneity and complicates the model with additional modules…
Incorporating Deep Syntactic and Semantic Knowledge for Chinese Sequence Labeling with GCN
Xuemei Tang, Jun Wang, Qi Su
Recently, it is quite common to integrate Chinese sequence labeling results to enhance syntactic and semantic parsing. However, little attention has been paid to the utility of hie…
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory
Xuemei Tang, Qi Su, Jun Wang
The evolution of language follows the rule of gradual change. Grammar, vocabulary, and lexical semantic shifts take place over time, resulting in a diachronic linguistic gap. As su…
Chinese Word Segmentation with Heterogeneous Graph Neural Network
Xuemei Tang, Jun Wang, Qi Su
In recent years, deep learning has achieved significant success in the Chinese word segmentation (CWS) task. Most of these methods improve the performance of CWS by leveraging exte…