Abhilasha Ravichander

/ɑ.bʰi.ˈla.ʃə/ (listen)

Abhilasha Ravichander👋

I am a Postdoc/Young Investigator at the Allen Institute for AI (AI2), working on project Mosaic. Prior to joining AI2, I completed my PhD from Carnegie Mellon University. My research focuses on building robust systems to process natural language, by:

(1) formulating techniques to diagnose and validate models and datasets,
(2) developing stronger computational reasoning capabilities, and
(3) explaining the predictive decision-making mechanisms of models.

Ultimately, I care about making trustworthy technology that people can use. To this end, I am also interested in building tools that empower people to take (back) control of their privacy. For more about my work, please see my publications.

What's New

I will be at the Rising Stars in EECS workshop at the University of Texas at Austin.
CondaQA won a best paper award at the 2022 SoCal NLP symposium 🎉
I was selected as a Rising Star in Data Science by the University of Chicago.
I was an outstanding reviewer at ACL 2020 and EMNLP 2020.
I started the NLP With Friends online seminar series, with my wonderful co-organizers Zeerak Waseem, Yanai Elazar and Liz Salesky.
I will be speaking in a panel on "The Role of Active Privacy Management in a World Where the Consent Model Breaks Down" at CPDP 2020 in Brussels, Belgium.
I will be helping lead a research team at the OurCS workshop at CMU. If you are an undergraduate woman, please do consider attending! Funds for hotels and meals will be provided.
I will be spending the summer interning at MSR Montreal with Adam Trischler and Kaheer Suleman, working on teaching machines commonsense reasoning.
I will be attending ACL, YRRSDS and SIGDIAL 2018 in Melbourne. Ping me if you'd like to chat!
Our work, "Stress Test Evaluation for Natural Language Inference" was an Area Chair Favorite Paper at COLING 2018!
I will be at the Generalization in Deep Learning workshop at NAACL 2018. Ping me if you'd like to chat!
I will be starting my PhD at the Language Technologies Institute, Carnegie Mellon University in Fall 2018.
I am at the Machine Learning Summer School in Tubingen. Let me know if you'd like to meet up!
Our team was selected to participate in the Alexa Prize with a 100,000$ stipend and additional support from Amazon! Congratulations to all the selected teams.
Our work on "A Persistent Homology Approach to Document Clustering" won the best poster award in 10-701 (Introduction to Machine Learning (PhD)).


Publications

(*) - Equal Contribution

2022
CondaQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation SoCal NLP Symposium best paper award
Abhilasha Ravichander, Matt Gardner, Ana Marasović
2022 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2022).
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2022
Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision
Yuanyuan Feng, Abhilasha Ravichander, Yaxing Yao, Shikun Zhang, Norman Sadeh
7th Workshop on Inclusive Privacy and Security.
PDF

2022
Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg
Preprint.
PDF

2022
A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus
Siddhant Arora, Henry Hosseini, Christine Utz, Vinayshekhar Bannihatti Kumar, Tristan Dhellemmes, Abhilasha Ravichander, Peter Story, Jasmine Mangat, Rex Chen, Martin Degeling, Thomas Norton, Thomas Hupperich, Shomir Wilson, Norman Sadeh
Thirteenth Language Resources and Evaluation Conference, (LREC 2022).
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2021
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?
Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy
16th Conference of the European Chapter of the Association for Computational Linguistics, (EACL 2021).
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2021
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering
Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina, Florian Metze, Eduard Hovy, Alan W Black
16th Conference of the European Chapter of the Association for Computational Linguistics, (EACL 2021).
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2021
Measuring and Improving Consistency in Pretrained Language Models
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard Hovy, Hinrich Schütze, Yoav Goldberg
Transactions of the Association of Computational Linguistics, (TACL 2021).
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2021
Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?
Abhilasha Ravichander, Alan W Black, Thomas Norton, Shomir Wilson and Norman Sadeh.
59th Annual Meeting of the Association for Computational Linguistics, (ACL 2021)
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2020
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung.
2020 Joint Conference on Lexical and Computational Semantics, (*SEM 2020).
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2019
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference
Abhilasha Ravichander*, Aakanksha Naik*, Carolyn Rose, Eduard Hovy
2019 Conference on Computational Natural Language Learning, (CoNLL 2019).
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2019
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton and Norman Sadeh.
2019 Conference on Empirical Methods in Natural Language Processing, (EMNLP 2019)
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2019
Exploring Numeracy in Word Embeddings
Aakanksha Naik*, Abhilasha Ravichander*, Carolyn Rose, Eduard Hovy
57th Meeting of Association for Computational Linguistics, (ACL 2019).
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2019
Evaluating How Global Privacy Principles Answer Consumers’ Questions About Mobile App Privacy.
Thomas Norton, Joel Reidenberg, Norman Sadeh and Abhilasha Ravichander
4th European Privacy Law Scholars Conference, (PLSC 2019).

2019
Challenges in Automated Question Answering for Privacy Policies.
Abhilasha Ravichander, Alan Black, Eduard Hovy, Joel Reidenberg, N. Cameron Russell and Norman Sadeh
AAAI Spring Symposium Series, 2019
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2019
MAPS: Scaling Privacy Compliance Analysis to a Million Apps
Peter Story, Sebastian Zimmeck, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel Reidenberg, N. Cameron Russell and Norman Sadeh
PETS 2019
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2018
Stress Test Evaluation for Natural Language Inference     Area Chair Favorite Paper Prize
Aakanksha Naik*, Abhilasha Ravichander*, Norman Sadeh, Carolyn Rose, Graham Neubig.
27th International Conference on Computational Linguistics, (COLING 2018).
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2018
An Empirical Study of Self-Disclosure in Spoken Dialogue Systems
Abhilasha Ravichander, Alan Black.
19th Annual SIGdial Meeting on Discourse and Dialogue, (SIGDIAL 2018).
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2017
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations
Paul Michel*, Abhilasha Ravichander*, Shruti Rijhwani*.
Workshop on Representation Learning For NLP, Association for Computational Linguistics, 2017 (ACL 2017).
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2017
How Would You Say It? Eliciting Lexically Diverse Data for Supervised Semantic Parsing
Abhilasha Ravichander*, Thomas Manzini*, Matthias Grabmair, Jonathan Francis, Graham Neubig, Eric Nyberg.
18th Annual SIGdial Meeting on Discourse and Dialogue, (SIGDIAL 2017).
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