Varun Gangal

According to our database, Varun Gangal authored at least 27 papers between 2016 and 2023.

Collaborative distances:

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

2023

DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers.

Sarin Chandy, Varun Gangal, Yi Yang, Gabriel Maggiotti

CoRR, 2023

PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically.

Sedrick Scott Keh, Steven Y. Feng, Varun Gangal, Malihe Alikhani, Eduard H. Hovy

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

2022

EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation.

Sedrick Scott Keh, Rohit Bharadwaj, Emmy Liu, Simone Tedeschi, Varun Gangal, Roberto Navigli

CoRR, 2022

PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation.

Sedrick Scott Keh, Kevin Lu, Varun Gangal, Steven Y. Feng, Harsh Jhamtani, Malihe Alikhani, Eduard H. Hovy

Proceedings of the 29th International Conference on Computational Linguistics, 2022

NAREOR: The Narrative Reordering Problem.

Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models.

Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.

CoRR, 2021

NAREOR: The Narrative Reordering Problem.

Varun Gangal, Steven Y. Feng, Eduard H. Hovy, Teruko Mitamura

CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

Automatic Construction of Evaluation Suites for Natural Language Generation Datasets.

Simon Mille, Kaustubh D. Dhole, Saad Mahamood, Laura Perez-Beltrachini, Varun Gangal, Mihir Sanjay Kale, Emiel van Miltenburg, Sebastian Gehrmann

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation.

Steven Y. Feng, Jessica Huynh, Chaitanya Prasad Narisetty, Eduard H. Hovy, Varun Gangal

Proceedings of the 14th International Conference on Natural Language Generation, 2021

Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data.

Dheeraj Mekala, Varun Gangal, Jingbo Shang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Investigating Robustness of Dialog Models to Popular Figurative Language Constructs.

Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation.

Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Survey of Data Augmentation Approaches for NLP.

Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

GenAug: Data Augmentation for Finetuning Text Generators.

Steven Y. Feng, Varun Gangal, Dongyeop Kang, Teruko Mitamura, Eduard H. Hovy

CoRR, 2020

BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? - A Study on the RAMS Dataset.

Varun Gangal, Eduard H. Hovy

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations.

Xiang Kong, Varun Gangal, Eduard H. Hovy

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

Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog.

Varun Gangal, Abhinav Arora, Arash Einolghozati, Sonal Gupta

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis.

Eduard H. Hovy, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alex Hauptmann, Florian Metze, Teruko Mitamura, Zaid Sheikh, Ankit Dangi, Aditi Chaudhary, Xianyang Chen, Xiang Kong, Bernie Huang, Salvador Medina, Hector Liu, Xuezhe Ma, Maria Ryskina, Ramon Sanabria, Varun Gangal

Proceedings of the 2019 Text Analysis Conference, 2019

(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas.

Dongyeop Kang, Varun Gangal, Eduard H. Hovy

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data.

Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models.

Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Eric Nyberg

CoRR, 2017

Detecting and Explaining Causes From Text For a Time Series Event.

Dongyeop Kang, Varun Gangal, Ang Lu, Zheng Chen, Eduard H. Hovy

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Charmanteau: Character Embedding Models For Portmanteau Creation.

Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

HEMI: Hyperedge Majority Influence Maximization.

Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam

Proceedings of the 2nd International Workshop on Social Influence Analysis co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016

Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version).

Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016