Lexicon information and pre-trained models, such as BERT, have been combined to explore
Chinese sequence labelling tasks due to their respective strengths. However, existing …

Video Object Grounding (VOG) is the problem of associating spatial object regions in the
video to a descriptive natural language query. This is a challenging vision-language task …

Existing research generally treats Chinese character as a minimum unit for representation.
However, such Chinese character representation will suffer two bottlenecks: 1) Learning …

Segmentation plays a crucial role in speech processing applications, where high accuracy is
essential. The quest for improved accuracy in automatic segmentation, particularly in the …

Sindhi word segmentation is a challenging task due to space omission and insertion issues.
The Sindhi language itself adds to this complexity. It's cursive and consists of characters with …

Electronic health records (EHRs) in hospital information systems contain patients' diagnoses
and treatments, so EHRs are essential to clinical data mining. Of all the tasks in the mining …

随着自然语言处理领域相关技术的快速发展, 作为自然语言处理的上游任务,
提高命名实体识别的准确率对于后续的文本处理任务而言具有重要的意义. 然而 …

In the process of classifying intelligent assets, we encountered challenges with a limited
dataset dominated by complex compound noun phrases. Training classifiers directly on this …

Fully supervised neural approaches have achieved significant progress in the task of
Chinese word segmentation (CWS). Nevertheless, the performance of supervised models …

Featured Application This study proposes a novel semi-supervised deep learning
framework, GeoCWS, which provides a solution for Chinese word segmentation in the …