Aakanksha Naik
Aakanksha Naik
Allen Institute for Artificial Intelligence
Verified email at - Homepage
Cited by
Cited by
Stress test evaluation for natural language inference
A Naik, A Ravichander, N Sadeh, C Rose, G Neubig
arXiv preprint arXiv:1806.00692, 2018
EQUATE: A benchmark evaluation framework for quantitative reasoning in natural language inference
A Ravichander, A Naik, C Rose, E Hovy
arXiv preprint arXiv:1901.03735, 2019
Exploring numeracy in word embeddings
A Naik, A Ravichander, C Rose, E Hovy
Proceedings of the 57th Annual Meeting of the Association for Computationalá…, 2019
Towards open domain event trigger identification using adversarial domain adaptation
A Naik, C Rose
arXiv preprint arXiv:2005.11355, 2020
Tackling biomedical text summarization: Oaqa at bioasq 5b
K Chandu, A Naik, A Chandrasekar, Z Yang, N Gupta, E Nyberg
BioNLP 2017, 58-66, 2017
TDDiscourse: A dataset for discourse-level temporal ordering of events
A Naik, L Breitfeller, C Rose
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogueá…, 2019
Literature-augmented clinical outcome prediction
A Naik, S Parasa, S Feldman, LL Wang, T Hope
arXiv preprint arXiv:2111.08374, 2021
FanfictionNLP: A text processing pipeline for fanfiction
MM Yoder, S Khosla, Q Shen, A Naik, H Jin, H Muralidharan, CP RosÚ
The 3rd Workshop on Narrative Understanding, 2021
Using functional schemas to understand social media narratives
X Yan, A Naik, Y Jo, C Rose
Proceedings of the Second Workshop on Storytelling, 22-33, 2019
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections
S Palani, A Naik, D Downey, AX Zhang, J Bragg, JC Chang
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systemsá…, 2023
Extracting personal medical events for user timeline construction using minimal supervision
A Naik, C Bogart, C Rose
BioNLP 2017, 356-364, 2017
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
K Lo, JC Chang, A Head, J Bragg, AX Zhang, C Trier, C Anastasiades, ...
arXiv preprint arXiv:2303.14334, 2023
Stage: tool for automated extraction of semantic time cues to enrich neural temporal ordering models
L Breitfeller, A Naik, C Rose
arXiv preprint arXiv:2105.07314, 2021
Adapting event extractors to medical data: Bridging the covariate shift
A Naik, J Lehman, C Rose
arXiv preprint arXiv:2008.09266, 2020
Domain Adaptation for the Long Tail in Language Understanding
A Naik
PhD thesis, Carnegie Mellon University Pittsburgh, PA, 2022. 1.3. 1, 4, 4.1, 2022
S2abEL: A Dataset for Entity Linking from Scientific Tables
Y Lou, B Kuehl, E Bransom, S Feldman, A Naik, D Downey
arXiv preprint arXiv:2305.00366, 2023
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design
CN Edwards, A Naik, T Khot, MD Burke, H Ji, T Hope
bioRxiv, 2023.07. 06.547759, 2023
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks
A Naik, J Lehman, C RosÚ
Transactions of the Association for Computational Linguistics 10, 956-980, 2022
Multi-Scale Contrastive Co-Training for Event Temporal Relation Extraction
HR Yao, L Breitfeller, A Naik, C Zhou, C Rose
arXiv preprint arXiv:2209.00568, 2022
Improving Decision Support Tools for LVAD Recipients via Computational Analyses of Online Support Group Discussions
AR Naik, LC Lohmueller, CP Rose, JF Antaki
Journal of Cardiac Failure 23 (8), S107-S108, 2017
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