# Bio

I research, through a language processing lens, how to help computers to acquire knowledge and reason in the way human beings do. Language is the conduit (opens new window) transmitting all kinds of knowledge between people. I'm thus interested in grounded language learning, especially in finding intuitive and theoretically sound algorithms to perform relational learning on knowledge and language representations.

I currently work as an applied scientist at Microsoft. I did my master's studies at the University of Virginia, where I was a member of the ILP Lab (opens new window) working with Prof. Yangfeng Ji (opens new window). I've also spent time at Microsoft Research (Beijing (opens new window) and Redmond (opens new window)) since I was an undergraduate at CUGB (opens new window).

# Publications

⚾️ HittER: Hierarchical Transformers for Knowledge Graph Embeddings
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
In EMNLP'2021 (Oral)
Abs Bib LinkarXivCode
Contextualizing Language Understanding with Graph-based Knowledge Representations
Sanxing Chen
Master's thesis, The University of Virginia, 2020
Abs Bib Link
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
In COLING'2020 (Oral)
Abs Bib LinkarXivCode

# Service

  • Program committee member (reviewer): COLING'2020, NAACL'2021, ACL'2021, EMNLP' 2021, NLPCC' 2021, ARR (regularly)
  • Volunteer: ACL'2020, EMNLP'2020

# Misc

# Contact

✉️ i [at] sxing [dot] xyz

🐦 @sanxing_chen

Last Updated: 4/30/2022, 10:14:41 AM