Large Language Models (LLMs) have revolutionized natural language proces...
Knowledge-aided dialogue response generation aims at augmenting chatbots...
Current self-training methods such as standard self-training, co-trainin...
Building robust and general dialogue models for spoken conversations is
...
Recently CKY-based models show great potential in unsupervised grammar
i...
When applied to large-scale learning problems, the conventional wisdom o...
In the Chinese medical insurance industry, the assessor's role is essent...
Human language understanding operates at multiple levels of granularity
...
Previous machine comprehension (MC) datasets are either too small to tra...
Attention-based Neural Machine Translation (NMT) models suffer from atte...
In this paper, we improve the attention or alignment accuracy of neural
...
Conventional word sense induction (WSI) methods usually represent each
i...
In order to capture rich language phenomena, neural machine translation
...
In this paper, we enhance the attention-based neural machine translation...
Most conventional sentence similarity methods only focus on similar part...
In this work, we propose a semi-supervised method for short text cluster...