1 code implementation • Findings (ACL) 2022 • Le Qi, Shangwen Lv, Hongyu Li, Jing Liu, Yu Zhang, Qiaoqiao She, Hua Wu, Haifeng Wang, Ting Liu
Open-domain question answering has been used in a wide range of applications, such as web search and enterprise search, which usually takes clean texts extracted from various formats of documents (e. g., web pages, PDFs, or Word documents) as the information source.
no code implementations • Findings (NAACL) 2022 • Le Qi, Yu Zhang, Qingyu Yin, Guidong Zheng, Wen Junjie, Jinlong Li, Ting Liu
In this process, there are two kinds of critical information that are commonly employed: the representation information of original questions and the interactive information between pairs of questions.
no code implementations • 24 Nov 2022 • Yueqing Sun, Yu Zhang, Le Qi, Qi Shi
In this paper, we aim to address the above limitation by leveraging the implicit knowledge stored in PrLMs and propose a two-stage prompt-based unsupervised commonsense question answering framework (TSGP).
1 code implementation • NAACL 2022 • Yueqing Sun, Qi Shi, Le Qi, Yu Zhang
Specifically, JointLK performs joint reasoning between LM and GNN through a novel dense bidirectional attention module, in which each question token attends on KG nodes and each KG node attends on question tokens, and the two modal representations fuse and update mutually by multi-step interactions.
no code implementations • 29 Dec 2020 • Le Qi, Yu Zhang, Qingyu Yin, Ting Liu
Self attention networks (SANs) have been widely utilized in recent NLP studies.
no code implementations • SEMEVAL 2017 • Le Qi, Yu Zhang, Ting Liu
We describe a method of calculating the similarity of questions in community QA.