Cross-lingual open information extraction aims to extract structured
inf...
Financial risk prediction plays a crucial role in the financial sector.
...
Instruction tuning has significantly advanced large language models (LLM...
Data augmentation has been established as an efficacious approach to
sup...
Context-aware neural machine translation aims to use the document-level
...
Pre-trained models have achieved remarkable success in natural language
...
Named entity recognition (NER) suffers from the scarcity of annotated
tr...
Transformer structure, stacked by a sequence of encoder and decoder netw...
Multilingual neural machine translation (MNMT) trained in multiple langu...
Most translation tasks among languages belong to the zero-resource
trans...
Few-shot relation learning refers to infer facts for relations with a li...