Rashmi Gangadharaiah

According to our database, Rashmi Gangadharaiah authored at least 40 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Panda: Performance Debugging for Databases using LLM Agents.

Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

User Persona Identification and New Service Adaptation Recommendation.

Narges Tabari, Sandesh Swamy, Rashmi Gangadharaiah

CoRR, 2023

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA.

Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah

CoRR, 2023

Document-Level Supervision for Multi-Aspect Sentiment Analysis Without Fine-grained Labels.

Kasturi Bhattacharjee, Rashmi Gangadharaiah

CoRR, 2023

Privacy Adhering Machine Un-learning in NLP.

Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering.

Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

PhraseSumm: Abstractive Short Phrase Summarization.

Kasturi Bhattacharjee, Kathleen R. McKeown, Rashmi Gangadharaiah

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems.

Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Zero-Shot Learning for Joint Intent and Slot Labeling.

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy

CoRR, 2022

Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters.

Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth

CoRR, 2022

PerKGQA: Question Answering over Personalized Knowledge Graphs.

Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn P. Rosé

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

What Do Users Care About? Detecting Actionable Insights from User Feedback.

Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen R. McKeown, Dan Roth

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches.

Sopan Khosla, Rashmi Gangadharaiah

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Towards Cross-Domain Transferability of Text Generation Models for Legal Text.

Vinayshekhar Bannihatti Kumar, Kasturi Bhattacharjee, Rashmi Gangadharaiah

Proceedings of the Natural Legal Language Processing Workshop, 2022

Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification.

Sopan Khosla, Rashmi Gangadharaiah

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Domain and Task-Informed Sample Selection for Cross-Domain Target-based Sentiment Analysis.

Kasturi Bhattacharjee, Rashmi Gangadharaiah, Smaranda Muresan

Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021

2020

Recursive Template-based Frame Generation for Task Oriented Dialog.

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

An open access medical knowledge base for community driven diagnostic decision support system development.

Lars Müller, Rashmi Gangadharaiah, Simone C. Klein, James Perry, Greg Bernstein, David Nurkse, Dustin Wailes, Rishi Graham, Robert E. El-Kareh, Sanjay Mehta, Staal Amund Vinterbo, Eliah Aronoff Spencer

BMC Medical Informatics Decis. Mak., 2019

Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog.

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Achieving Fluency and Coherency in Task-oriented Dialog.

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan

CoRR, 2018

What we need to learn if we want to do and not just talk.

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2016

Using Machine Learning to Accelerate Data Wrangling.

Shilpi Ahuja, Mary Roth, Rashmi Gangadharaiah, Peter M. Schwarz, Rafael Bastidas

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2014

Learning to Re-rank for Interactive Problem Resolution and Query Refinement.

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan

Proceedings of the SIGDIAL 2014 Conference, 2014

Unsupervised Focus Group Identification from Online Product Reviews.

Sneha Chaudhari, Rashmi Gangadharaiah, Balakrishnan Narayanaswamy

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data.

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Hypothesis Refinement Using Agreement Constraints in Machine Translation.

Ankur Gandhe, Rashmi Gangadharaiah

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Semi-Supervised Answer Extraction from Discussion Forums.

Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, Dinesh Raghu

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

2012

Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums.

Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah

Proceedings of the COLING 2012, 2012

PriSM: discovering and prioritizing severe technical issues from product discussion forums.

Rashmi Gangadharaiah, Rose Catherine

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Reducing Asymmetry between language-pairs to Improve Alignment and Translation Quality.

Rashmi Gangadharaiah

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Handling verb phrase morphology in highly inflected Indian languages for Machine Translation.

Ankur Gandhe, Rashmi Gangadharaiah, Karthik Visweswariah, Ananthakrishnan Ramanathan

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation.

Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2011

2010

Automatic Determination of Number of clusters for creating Templates in Example-Based Machine Translation.

Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell

Proceedings of the 14th Annual conference of the European Association for Machine Translation, 2010

Monolingual Distributional Profiles for Word Substitution in Machine Translation.

Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell

Proceedings of the COLING 2010, 2010

2009

Active Learning in Example-Based Machine Translation.

Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell

Proceedings of the 17th Nordic Conference of Computational Linguistics, 2009

2007

Building a better Indian English voice using "more data".

Rohit Kumar, Rashmi Gangadharaiah, Sharath Rao, Kishore Prahallad, Carolyn P. Rosé, Alan W. Black

Proceedings of the Sixth ISCA Workshop on Speech Synthesis, 2007

2006

Spectral Clustering for Example Based Machine Translation.

Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Voting for two speaker segmentation.

Narayanaswamy Balakrishnan, Rashmi Gangadharaiah, Richard M. Stern

Proceedings of the INTERSPEECH 2006, 2006

2005

Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification.

Balakrishnan Narayanaswamy, Rashmi Gangadharaiah

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

A novel method for two-speaker segmentation.

Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Narayanaswamy Balakrishnan

Proceedings of the INTERSPEECH 2004, 2004