Meta learning have achieved promising performance in low-resource text
c...
Generalized Few-Shot Intent Detection (GFSID) is challenging and realist...
The heavy-load legged robot has strong load carrying capacity and can ad...
With the continuous evolution and refinement of LLMs, they are endowed w...
Large language models (LLMs) have shown impressive ability for open-doma...
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...
The MultiCoNER 2 shared task aims to tackle multilingual named entity
re...
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...
Chinese Grammatical Error Correction (CGEC) aims to automatically detect...
Chinese Grammatical Error Correction (CGEC) is both a challenging NLP ta...
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...
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...
Entity Set Expansion (ESE) is a promising task which aims to expand enti...
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...
This paper offers a comprehensive review of the research on Natural Lang...
Multilayer perceptron (MLP), as the first neural network structure to ap...
Existing text- and image-based multimodal dialogue systems use the
tradi...
Deep neural models have hitherto achieved significant performances on
nu...