Elena Tutubalina
Lead Researcher @ Insilico Medicine Hong Kong
dataset
information extraction
evaluation
bert
zero-shot
benchmark
text classification
information retrieval
entity linking
resources and evaluation
biomedical text mining
multimodal models
image advertisements
symbolism prediction
llms
7
presentations
3
number of views
SHORT BIO
Elena Tutubalina, Ph.D., is a Lead NLP Researcher at Insilico Medicine Hong Kong. She has written her Ph.D. thesis at Kazan Federal University and defended it in 2016 at the Institute for Systems Programming, Russian Academy of Sciences. Dr. Tutubalina serves as PI of several scientific projects funded by science foundations (RSF, RFBR). She has 52 publications indexed in Scopus, including publications in Q1 journals and on such conferences as ACL, COLING, WSDM,ECIR (scopus id 56441621500). Dr. Tutubalina serves as a reviewer for leading journals (JBI, Nature, , etc.) and several leading conferences (ACL, AAAI, etc.). Her research interests are in computer science, natural language processing, information extraction, opinion mining, and machine learning.
Presentations
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory
Mark Rofin and 7 other authors
A Comprehensive Evaluation of Biomedical Entity-centric Search
Elena Tutubalina
RuCCoN: Clinical Concept Normalization in Russian
Aleksandr Nesterov and 9 other authors
Adverse Drug Reaction Classification of Tweets with Fusion of Text and Drug Representations
Elena Tutubalina and 1 other author
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements
Elena Tutubalina and 5 other authors
2088 - Fair Evaluation in Concept Normalization: a Large-scale Comparative Analysis for BERT-based Models
Elena Tutubalina and 2 other authors
KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions
Elena Tutubalina and 2 other authors