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Posts
Blog Post 1
Published:
title: ‘Blog Post 1 - Coming Soon!’ date: 2018-06-20 permalink: /posts/2018/06/blog-post-1/ tags:
- networking
- research conferences
undergrad research
publications
IIT (BHU): System Description for LSDSem’17 Shared Task
Published in LSDSem at EACL, 2017
Recommended citation: Goel, Pranav, and Anil Kumar Singh. "IIT (BHU): System Description for LSDSem17 Shared Task." Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics. 2017.
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets [Shared Task WINNER]
Published in WASSA at EMNLP, 2017
Recommended citation: Goel, Pranav, et al. "Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets." Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. 2017.
Sarcasm Target Identification: Dataset and An Introductory Approach
Published in LREC, 2018
Recommended citation: Joshi, Aditya, Pranav Goel, Pushpak Bhattacharyya, and Mark J. Carman. "Sarcasm Target Identification: Dataset and An Introductory Approach." LREC 2018-11th edition of the Language Resources and Evaluation Conference. 2018.
“I think it might help if we multiply, and not add”: Detecting Indirectness in Conversation
Published in IWSDS, 2018
Recommended citation: Goel, Pranav, Yoichi Matsuyama, Michael Madaio, and Justine Cassell. "I think it might help if we multiply, and not add": Detecting Indirectness in Conversation. In: Proceedings of the International Workshop Series on Spoken Dialogue Systems Technology (IWSDS). 2018.
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs [NEW]
Published in International Conference on Computational Linguistics (COLING 2018), 2018
Recommended citation: Kulshreshtha, Devang, Pranav Goel, and Anil Kumar Singh. "How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs." Proceedings of the 27th International Conference on Computational Linguistics. 2018.
How Pre-trained Word Representations Capture Commonsense Physical Comparisons
Published in COIN at EMNLP, 2019
Recommended citation: Goel, Pranav, et al. "How Pre-trained Word Representations Capture Commonsense Physical Comparisons" Proceedings of the 1st Workshop on Commonsense Inference in Natural Language Processing at EMNLP. 2019.
Towards Automatic Generation of Questions from Long Answers
Published in arXiv, 2020
Recommended citation: Mishra, Shlok Kumar, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David Jacobs, and Hal Daumé III. "Towards Automatic Generation of Questions from Long Answers." arXiv preprint arXiv:2004.05109 (2020).
Improving Neural Topic Models using Knowledge Distillation
Published in EMNLP, 2020
Recommended citation: Pranav Goel*, Alexander Hoyle*, and Philip Resnik. "Improving Neural Topic Models Using Knowledge Distillation." Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020
GPT Perdetry Test: Generating new meanings for new words
Published in NAACL, 2021
Recommended citation: Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, and Nebojsa Jojic. “GPT Perdetry Test: Generating new meanings for new words” In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). 2021.
Studying word order through iterative shuffling
Published in EMNLP, 2021
Recommended citation: Nikolay Malkin, Sameera Lanka, Pranav Goel, and Nebojsa Jojic. “Studying word order through iterative shuffling.” Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021.
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Published in NeurIPS, 2021
Recommended citation: Pranav Goel*, Alexander Hoyle*, Denis Peskov*, Andrew Hian-Cheong*, Jordan Boyd-Graber, and Philip Resnik. “Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence.” Advances in Neural Information Processing Systems. 2021.
Are Neural Topic Models Broken?
Published in Findings of EMNLP, 2022
Recommended citation: Alexander Hoyle, Pranav Goel, Rupak Sarkar, and Philip Resnik. “Are Neural Topic Models Broken?” In Findings of the Association for Computational Linguistics: EMNLP 2022.
talks
Prediciting the Correct Ending of a Story
Published:
Poster presented for the system description paper accepted in the Story Cloze shared task at LSDSem, EACL 2017.
A Deep Exploration of Conversational Strategy Classification
Published:
Final presentation describing my work during my summer research internship, working on the conversational strategy classifier for the SARA (Socially Aware Robot Assistant) project at Articulab, CMU.
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets
Published:
Oral presentation for the EmoInt shared task winning system description paper accepted at WASSA, EMNLP 2017. Presentation with my voice-over was played at the workshop.
Transfer Learning (Seminar)
Published:
Seminal talk on the topic Transfer Learning.
Applying for M.S./Ph.D.
Published:
An informative talk given to undergraduates across the insititue, on applying for MS/PhD as an International/Indian student to (mainly) US schools. Presentation created with CS and related fields in mind.
Sarcasm Target Identification: Dataset and An Introductory Approach
Published:
Poster presentation for the full paper accepted at LREC 2018. Presented by a colleague at the conference.
Detecting Indirectness in Conversation
Published:
Oral presentation for the full paper accepted at IWSDS 2018.
Overcoming Priors in Visual Question Answering
Published:
Course Presentation for the Deep Learning Course, Fall 2018.
How Pre-trained Word Representations Capture Commonsense Physical Comparisons
Published:
Oral Presentation (delivered remotely) at COIN (COmmonsense INference in Natural Language Processing), EMNLP 2019.
Improving Neural Topic Models using Knowledge Distillation
Published:
Oral Presentation (delivered remotely) at EMNLP 2020.
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Published:
Oral Spotlight Presentation at NeurIPS 2021.
Why Do Misinformation Spreaders Also Share News from Reliable Sources? The Role of Narratives
Published:
Presented ongoing work on Misinformation Narratives in Mainstream Media.
Analyzing communicative choices to understand their motivations, context-based variation, and social consequences
Published:
Dissertation Proposal Talk
Are Neural Topic Models Broken?
Published:
Poster presentation for Findings of EMNLP 2022.
teaching
Introduction to Programming in C
Undergraduate (Freshmen) course, Indian Institute of Technology (BHU) Varanasi, 2017
Taught about 120 freshmen the basics of programming using C language for lab practicals. Designed assignments and helped take the first step towards an online local evaluation portal for conducting assignments and tests.
Introduction to Artificial Intelligence
Undergraduate (Sophomore) Course, Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, 2018
Took the lab for discussion of concepts as well as programming assignments for about 80 computer science sophomores. Created a set of programming assignments from the scratch, with the help of colleagues, including starter and supporting codes and proper README based instructions. Topics covered included search, logic and machine learning.
Discrete Structures
Undergraduate Course, Computer Science, University of Maryland, 2018
Natural Language Processing
Undergraduate Course, Computer Science, University of Maryland, 2019