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Pranav Goel
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2020 – today
- 2024
- [c13]Zongxia Li, Andrew Mao, Daniel Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber:
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis. EACL (1) 2024: 840-859 - [i9]Zongxia Li, Andrew Mao, Daniel Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber:
Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks. CoRR abs/2401.16348 (2024) - 2023
- [c12]Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Natural Language Decompositions of Implicit Content Enable Better Text Representations. EMNLP 2023: 13188-13214 - [i8]Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP. CoRR abs/2305.14583 (2023) - [i7]Pranav Goel, Jon Green, David Lazer, Philip Resnik:
Mainstream News Articles Co-Shared with Fake News Buttress Misinformation Narratives. CoRR abs/2308.06459 (2023) - 2022
- [c11]Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Are Neural Topic Models Broken? EMNLP (Findings) 2022: 5321-5344 - [i6]Alexander Miserlis Hoyle, Pranav Goel, Rupak Sarkar, Philip Resnik:
Are Neural Topic Models Broken? CoRR abs/2210.16162 (2022) - 2021
- [c10]Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic:
Studying word order through iterative shuffling. EMNLP (1) 2021: 10351-10366 - [c9]Gaurav Verma, Trikay Nalamada, Keerti Harpavat, Pranav Goel, Aman Mishra, Balaji Vasan Srinivasan:
Non-Linear Consumption of Videos Using a Sequence of Personalized Multimodal Fragments. IUI 2021: 249-259 - [c8]Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic:
GPT Perdetry Test: Generating new meanings for new words. NAACL-HLT 2021: 5542-5553 - [c7]Alexander Miserlis Hoyle, Pranav Goel, Andrew Hian-Cheong, Denis Peskov, Jordan L. Boyd-Graber, Philip Resnik:
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence. NeurIPS 2021: 2018-2033 - [i5]Alexander Miserlis Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan L. Boyd-Graber, Philip Resnik:
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. CoRR abs/2107.02173 (2021) - [i4]Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic:
Studying word order through iterative shuffling. CoRR abs/2109.04867 (2021) - 2020
- [c6]Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik:
Improving Neural Topic Models using Knowledge Distillation. EMNLP (1) 2020: 1752-1771 - [i3]Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III:
Towards Automatic Generation of Questions from Long Answers. CoRR abs/2004.05109 (2020) - [i2]Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik:
Improving Neural Topic Models using Knowledge Distillation. CoRR abs/2010.02377 (2020)
2010 – 2019
- 2018
- [c5]Devang Kulshreshtha, Pranav Goel, Anil Kumar Singh:
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs. COLING 2018: 2914-2926 - [c4]Pranav Goel, Yoichi Matsuyama, Michael Madaio, Justine Cassell:
"I Think It Might Help If We Multiply, and Not Add": Detecting Indirectness in Conversation. IWSDS 2018: 27-40 - [c3]Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark J. Carman:
Sarcasm Target Identification: Dataset and An Introductory Approach. LREC 2018 - 2017
- [c2]Pranav Goel, Anil Kumar Singh
:
IIT (BHU): System Description for LSDSem'17 Shared Task. LSDSem@EACL 2017: 81-86 - [c1]Prayas Jain, Pranav Goel, Devang Kulshreshtha, Kaushal Kumar Shukla:
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets. WASSA@EMNLP 2017: 58-65 - 2016
- [i1]Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark James Carman:
Automatic Identification of Sarcasm Target: An Introductory Approach. CoRR abs/1610.07091 (2016)
Coauthor Index
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