Abhilasha Ravichander
Abhilasha Ravichander
Allen Institute for Artificial Intelligence
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Cited by
Cited by
Stress Test Evaluation for Natural Language Inference
A Naik*, A Ravichander*, N Sadeh, C Rose, G Neubig
COLING 2018, Area Chair Favorite Paper, 2018
MAPS: Scaling privacy compliance analysis to a million apps
S Zimmeck, P Story, D Smullen, A Ravichander, Z Wang, J Reidenberg, ...
Proceedings on Privacy Enhancing Technologies 2019 (3), 66-86, 2019
Measuring and improving consistency in pretrained language models
Y Elazar, N Kassner, S Ravfogel, A Ravichander, E Hovy, H SchŁtze, ...
Transactions of the Association for Computational Linguistics 9, 1012-1031, 2021
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?
A Ravichander, Y Belinkov, E Hovy
arXiv preprint arXiv:2005.00719, 2020
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
A Ravichander, AW Black, S Wilson, T Norton, N Sadeh
arXiv preprint arXiv:1911.00841, 2019
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
An Empirical Study of Self-Disclosure in Spoken Dialogue Systems
A Ravichander, AW Black
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue†…, 2018
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
A Ravichander, E Hovy, K Suleman, A Trischler, JCK Cheung
Proceedings of the Ninth Joint Conference on Lexical and Computational†…, 2020
Exploring Numeracy in Word Embeddings
A Naik*, A Ravichander*, C Rose, E Hovy
Proceedings of the 57th Annual Meeting of the Association for Computational†…, 2019
Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm
MK Chandrasekaran, G Feigenblat, E Hovy, A Ravichander, ...
Proceedings of the First Workshop on Scholarly Document Processing, 214-224, 2020
Natural language processing for mobile app privacy compliance
P Story, S Zimmeck, A Ravichander, D Smullen, Z Wang, J Reidenberg, ...
AAAI Spring Symposium on Privacy-Enhancing Artificial Intelligence and†…, 2019
Measuring Causal Effects of Data Statistics on Language Model'sFactual'Predictions
Y Elazar, N Kassner, S Ravfogel, A Feder, A Ravichander, M Mosbach, ...
arXiv preprint arXiv:2207.14251, 2022
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
A Ravichander, S Dalmia, M Ryskina, F Metze, E Hovy, AW Black
arXiv preprint arXiv:2102.08345, 2021
Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?
A Ravichander, AW Black, T Norton, S Wilson, N Sadeh
Proceedings of the 59th Annual Meeting of the Association for Computational†…, 2021
How would you say it? eliciting lexically diverse data for supervised semantic parsing
A Ravichander*, T Manzini*, M Grabmair, G Neubig, J Francis, E Nyberg
The 18th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL†…, 2017
EIGEN: Event Influence GENeration using Pre-trained Language Models
A Madaan, D Rajagopal, Y Yang, A Ravichander, E Hovy, S Prabhumoye
arXiv preprint arXiv:2010.11764, 2020
Helping Users Understand Privacy Notices with Automated Query Answering Functionality: An Exploratory Study
KM Sathyendra, A Ravichander, PG Story, AW Black, N Sadeh
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations
P Michel, A Ravichander, S Rijhwani
arXiv preprint arXiv:1705.10900, 2017
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
A Ravichander, M Gardner, A Marasović
EMNLP 2022, SoCal NLP 2022 Best Paper, 2022
Quantifying the effect of in-domain distributed word representations: A study of privacy policies
VB Kumar, A Ravichander, P Story, N Sadeh
AAAI Spring Symposium on Privacy-Enhancing Artificial Intelligence and†…, 2019
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