7 citations · 16 across the 6 of their papers we have counts for
6 papers
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
Xiaochen Liu, Yang Gao, Yu Bai +4
Few-shot abstractive summarization has become a challenging task in natural language generation. To support it, we designed a novel soft prompts architecture coupled with a prompt…
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate
Yu Bai, Heyan Huang, Kai Fan +5
Cross-Lingual Summarization (CLS) is a task that extracts important information from a source document and summarizes it into a summary in another language. It is a challenging tas…
To be Closer: Learning to Link up Aspects with Opinions
Yuxiang Zhou, Lejian Liao, Yang Gao +2
Dependency parse trees are helpful for discovering the opinion words in aspect-based sentiment analysis (ABSA). However, the trees obtained from off-the-shelf dependency parsers ar…
Cross-Lingual Abstractive Summarization with Limited Parallel Resources
Yu Bai, Yang Gao, Heyan Huang
Parallel cross-lingual summarization data is scarce, requiring models to better use the limited available cross-lingual resources. Existing methods to do so often adopt sequence-to…
Prediction or Comparison: Toward Interpretable Qualitative Reasoning
Mucheng Ren, Heyan Huang, Yang Gao
Qualitative relationships illustrate how changing one property (e.g., moving velocity) affects another (e.g., kinetic energy) and constitutes a considerable portion of textual know…
Concept Pointer Network for Abstractive Summarization
Wang Wenbo, Gao Yang, Huang Heyan +1
A quality abstractive summary should not only copy salient source texts as summaries but should also tend to generate new conceptual words to express concrete details. Inspired by…