Recent developments of multi-modal large language models have demonstrat...
Various industries such as finance, meteorology, and energy generate vas...
Prompt learning is a new paradigm for utilizing pre-trained language mod...
In this paper, we propose DiffusionNER, which formulates the named entit...
Taxonomy completion, a task aimed at automatically enriching an existing...
The MultiCoNER 2 shared task aims to tackle multilingual named entity
re...
Solving complicated AI tasks with different domains and modalities is a ...
Complex knowledge base question answering can be achieved by converting
...
Joint entity and relation extraction has been a core task in the field o...
Math word problem solver requires both precise relation reasoning about
...
Predicting the impact of publications in science and technology has beco...
Concomitant administration of drugs can cause drug-drug interactions (DD...
Reliable navigation systems have a wide range of applications in robotic...
Data-free knowledge distillation (DFKD) conducts knowledge distillation ...
Nested named entity recognition (nested NER) is a fundamental task in na...
Named entity recognition (NER) is a fundamental task in natural language...
The MultiCoNER shared task aims at detecting semantically ambiguous and
...
Entity retrieval, which aims at disambiguating mentions to canonical ent...
Named entity recognition (NER) is a widely studied task in natural langu...
Named entity recognition (NER) is a well-studied task in natural languag...
Joint entity and relation extraction framework constructs a unified mode...
Multi-hop reading comprehension across multiple documents attracts much
...