1 citations · 1 across the 4 of their papers we have counts for
4 papers
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li, Wei Ye, Quansen Wang +2
Textual label names (descriptions) are typically semantically rich in many natural language understanding (NLU) tasks. In this paper, we incorporate the prompting methodology, whic…
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL
Guanming Xiong, Junwei Bao, Wen Zhao +2
This study investigates the task of knowledge-based question generation (KBQG). Conventional KBQG works generated questions from fact triples in the knowledge graph, which could no…
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer
Yinyi Wei, Tong Mo, Yongtao Jiang +2
Recent advances on prompt-tuning cast few-shot classification tasks as a masked language modeling problem. By wrapping input into a template and using a verbalizer which constructs…
Frequency-Aware Contrastive Learning for Neural Machine Translation
Tong Zhang, Wei Ye, Baosong Yang +7
Low-frequency word prediction remains a challenge in modern neural machine translation (NMT) systems. Recent adaptive training methods promote the output of infrequent words by emp…