Scholar
Aakanksha Naik
Google Scholar ID: izvklcoAAAAJ
Allen Institute for Artificial Intelligence
Citations & Impact
Citations
1,780
H-index
18
i10-index
25
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Adapting Event Extractors to Medical Data: Bridging the Covariate Shift', 'Adapting to the Long Tail in Language Understanding', 'STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models', etc.; successfully passed thesis defense in February 2022; will be joining the Semantic Scholar team at AI2 as a research scientist.
Research Experience
- Worked with Prof Carolyn Rose, Ed Hovy, Graham Neubig, Eric Nyberg, Alan Black, and James Antaki on various projects during PhD; interned with the Machine and Language Learning (MALL) Lab at Indian Institute of Science (IISc) and the Natural Language Dialog group at the Institute for Creative Technologies, University of Southern California during undergraduate studies.
Education
- PhD: Language Technologies Institute at the School of Computer Science, Carnegie Mellon University, advised by Prof Carolyn Rose; Master's: Language Technologies, Carnegie Mellon University, graduated August 2018; Bachelor's: Computer Science, Birla Institute of Technology and Science, Pilani, graduated August 2016.
Background
- Primary research interests lie in developing better models and evaluation paradigms for the long tail in language understanding. Current research focuses on developing event extractors for medical data without in-domain training data. Past work includes discourse-level temporal event ordering, natural language inference, and numerical reasoning.
Miscellany
- Will serve as an Academic Inclusion co-chair on the NAACL 2022 DEI committee.
Co-authors