I'm a researcher in Computer Science and Natural Language Processing at Stanford University. My work has focused on knowledge base population and information extraction systems. I was part of the team that developed Stanford's KBP (Knowledge Base Population) system for the Text Analysis Conference, working alongside researchers like Christopher Manning and Gabor Angeli.
My research interests center on developing systems that can automatically extract structured information from unstructured text. This includes working on challenges like relation extraction, entity recognition, and building comprehensive knowledge bases from large text corpora. I'm particularly interested in how we can improve the accuracy and consistency of automated information extraction systems.
At Stanford, I contributed to developing information retrieval components and consistency checking mechanisms for our KBP system, which achieved significant performance improvements over baseline approaches. Our work demonstrated the effectiveness of distant supervision techniques for large-scale information extraction tasks.
My research interests center on developing systems that can automatically extract structured information from unstructured text. This includes working on challenges like relation extraction, entity recognition, and building comprehensive knowledge bases from large text corpora. I'm particularly interested in how we can improve the accuracy and consistency of automated information extraction systems.
At Stanford, I contributed to developing information retrieval components and consistency checking mechanisms for our KBP system, which achieved significant performance improvements over baseline approaches. Our work demonstrated the effectiveness of distant supervision techniques for large-scale information extraction tasks.
Publications
Stanford's 2013 KBP System
Gabor Angeli, Arun Tejasvi Chaganty, Angel X. Chang, K. Reschke, J. Tibshirani, Jean Wu, O. Bastani, Keith Siilats, Christopher D. Manning
Text Analysis Conference 2013