Meta learning have achieved promising performance in low-resource text
c...
Generalized Few-Shot Intent Detection (GFSID) is challenging and realist...
Large language models (LLMs) have shown impressive ability for open-doma...
Recently, instruction-following Large Language Models (LLMs) , represent...
Recently, the development and progress of Large Language Models (LLMs) h...
Chinese Text Error Correction (CTEC) aims to detect and correct errors i...
Entity Linking (EL) is a fundamental task for Information Extraction and...
It is intractable to evaluate the performance of Grammatical Error Corre...
Entity alignment (EA) aims to discover the equivalent entities in differ...
Entity Set Expansion (ESE) is a critical task aiming to expand entities ...
Visual Relation Detection (VRD) aims to detect relationships between obj...
Entity alignment (EA) for knowledge graphs (KGs) plays a critical role i...
Contextual synonym knowledge is crucial for those similarity-oriented ta...
Open Relation Extraction (OpenRE) aims to discover novel relations from ...
Controllable Text Generation (CTG) has obtained great success due to its...
Text classification is a very classic NLP task, but it has two prominent...
Traditional knowledge distillation adopts a two-stage training process i...
Entity Set Expansion (ESE) is a valuable task that aims to find entities...
Chinese Spell Checking (CSC) task aims to detect and correct Chinese spe...
Data augmentation with Mixup has been proven an effective method to
regu...
Entity Set Expansion (ESE) is a promising task which aims to expand enti...
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...