151 citations · 229 across the 44 of their papers we have counts for
11 papers · 1 filter
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge
Yangning Li, Jiaoyan Chen, Yinghui Li +3
Contextual synonym knowledge is crucial for those similarity-oriented tasks whose core challenge lies in capturing semantic similarity between entities in their contexts, such as e…
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction
Yangning Li, Yinghui Li, Xi Chen +3
Open Relation Extraction (OpenRE) aims to discover novel relations from open domains. Previous OpenRE methods mainly suffer from two problems: (1) Insufficient capacity to discrimi…
Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation
Shulin Huang, Shirong Ma, Yinghui Li +4
Controllable Text Generation (CTG) has obtained great success due to its fine-grained generation ability obtained by focusing on multiple attributes. However, most existing CTG res…
A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking
Zilin Yuan, Yinghui Li, Yangning Li +3
Text classification is a very classic NLP task, but it has two prominent shortcomings: On the one hand, text classification is deeply domain-dependent. That is, a classifier traine…
Focus Is What You Need For Chinese Grammatical Error Correction
Jingheng Ye, Yinghui Li, Shirong Ma +3
Chinese Grammatical Error Correction (CGEC) aims to automatically detect and correct grammatical errors contained in Chinese text. In the long term, researchers regard CGEC as a ta…
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction
Shirong Ma, Yinghui Li, Rongyi Sun +9
Chinese Grammatical Error Correction (CGEC) is both a challenging NLP task and a common application in human daily life. Recently, many data-driven approaches are proposed for the…
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking
Yinghui Li, Shirong Ma, Qingyu Zhou +7
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors. Recent researches start from the pretrained knowledge of language models and take multimodal inform…
Contextual Similarity is More Valuable than Character Similarity: An Empirical Study for Chinese Spell Checking
Ding Zhang, Yinghui Li, Qingyu Zhou +4
Chinese Spell Checking (CSC) task aims to detect and correct Chinese spelling errors. Recently, related researches focus on introducing character similarity from confusion set to e…
Automatic Context Pattern Generation for Entity Set Expansion
Yinghui Li, Shulin Huang, Xinwei Zhang +6
Entity Set Expansion (ESE) is a valuable task that aims to find entities of the target semantic class described by given seed entities. Various Natural Language Processing (NLP) an…
Contrastive Learning with Hard Negative Entities for Entity Set Expansion
Yinghui Li, Yangning Li, Yuxin He +3
Entity Set Expansion (ESE) is a promising task which aims to expand entities of the target semantic class described by a small seed entity set. Various NLP and IR applications will…
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
Yinghui Li, Qingyu Zhou, Yangning Li +7
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors, which are mainly caused by the phonological or visual similarity. Recently, pre-trained language mo…