Page Not Found
Page not found. Your pixels are in another canvas.
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Page not found. Your pixels are in another canvas.
This is a page not in th emain menu
Published:
title: ‘Blog Post 1 - Coming Soon!’ date: 2018-06-20 permalink: /posts/2018/06/blog-post-1/ tags:
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.
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.
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.
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.
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.
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.
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).
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
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.
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.
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.
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.
Published:
Poster presented for the system description paper accepted in the Story Cloze shared task at LSDSem, EACL 2017.
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.
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.
Published:
Seminal talk on the topic Transfer Learning.
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.
Published:
Poster presentation for the full paper accepted at LREC 2018. Presented by a colleague at the conference.
Published:
Oral presentation for the full paper accepted at IWSDS 2018.
Published:
Course Presentation for the Deep Learning Course, Fall 2018.
Published:
Oral Presentation (delivered remotely) at COIN (COmmonsense INference in Natural Language Processing), EMNLP 2019.
Published:
Oral Presentation (delivered remotely) at EMNLP 2020.
Published:
Oral Spotlight Presentation at NeurIPS 2021.
Published:
Presented ongoing work on Misinformation Narratives in Mainstream Media.
Published:
Dissertation Proposal Talk
Published:
Poster presentation for Findings of EMNLP 2022.
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.
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.
Undergraduate Course, Computer Science, University of Maryland, 2018
Undergraduate Course, Computer Science, University of Maryland, 2019