In the context of flexible manufacturing systems that are required to pr...
Cross-lingual named entity recognition (NER) aims to train an NER system...
Hybrid Question-Answering (HQA), which targets reasoning over tables and...
Temporal and numerical expression understanding is of great importance i...
Self-supervised representation learning has proved to be a valuable comp...
Pre-trained language models (PLMs) have shown their effectiveness in mul...
While named entity recognition (NER) is a key task in natural language
p...
Neural methods have been shown to achieve high performance in Named Enti...
Prior works in cross-lingual named entity recognition (NER) with no/litt...
To better tackle the named entity recognition (NER) problem on languages...
For languages with no annotated resources, transferring knowledge from
r...
Named entity recognition (NER) in Chinese is essential but difficult bec...