Thanks for stopping by!
I am Xinya Du (pronounced as shinn-ya do), a CS Ph.D. candidate at Cornell University, working with Prof. Claire Cardie. I graduated with a bachelor's degree in Computer Science from Shanghai Jiao Tong University.
I enjoy exploring/building things that are novel and impactful (in research and life). I work on natural language processing and machine learning, with a current focus on context-aware methods for question asking & answering, and event extraction, and the interplay between them.
You can find more information about me in the Curriculum Vitae.
PublicationsTemplate Filling with Generative Transformers
Xinya Du, Alexander M. Rush and Claire Cardie
In NAACL 2021 (short)
QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining
Xinya Du, Luheng He, Qi Li, Dian Yu, Panupong Pasupat and Yuan Zhang
In ACL 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li
In NAACL 2021
Improving Event Duration Prediction via Time-aware Pre-training
Zonglin Yang, Xinya Du, Alexander Rush and Claire Cardie
In EMNLP 2020 (Findings)
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Ahmed Hassan Awadallah, Adam Fourney, Robert Sim, Paul Bennett and Claire Cardie
In AACL 2020 (short)
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Xinya Du, Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
In NAACL-HLT 2019
[bib] [paper] [presentation]
Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du, Junru Shao and Claire Cardie
In ACL 2017
[bib] [arXiv] [presentation] [data & code]
Featured in New Scientist Tech Republic