Abhilasha Ravichander
Language Technologies Institute School of Computer Science Carnegie Mellon University
aravicha [at] cs [dot] cmu [dot] eduGHC 6411
Language Technologies Institute School of Computer Science Carnegie Mellon University
aravicha [at] cs [dot] cmu [dot] edu
I am a PhD student in the Language Technologies Institute at Carnegie Mellon University. I am very fortunate to be advised by Eduard Hovy and Norman Sadeh.
My research interests lie broadly in robustly representing semantic meaning in text. I think a lot about how to estimate and improve model generalization in real-world scenarios, by ensuring models are capable of the kinds of reasoning necessary to understand natural language. This is also concerned with designing better NLP methodology- how to build high-quality datasets and evaluations that reflect meaningful progress towards language understanding.
Additionally, I am interested in the application of these NLP/NLU techniques for social good- essentially, trying to use technology to mitigate some problems created by technology. Through the Usable Privacy Policy Project, I'm engaged in a multi-disciplinary effort to empower internet users to take back control of their privacy.
For more about my work, please see my publications list.
Outside my research interests, I care a lot about helping women interested in getting started with, or furthering, research in natural language processing—feel free to email me! I would be particularly happy to be able to help students from marginalized groups, or less-privileged institutions.
| 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 organize 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, SIGDIAL and YRRSDS 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)). |