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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.
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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
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.
How Emotional Are You? Neural Architectures and Transfer Learning for Emotion Intensity Prediction in Microblogs
Published:
Oral presentation for the full paper accepted at COLING 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.
Mainstream News Articles Co-Shared with Fake News Buttress Misinformation Narratives
Published:
Oral presentation at ICWSM 2023. Our work won the Outstanding Study Design Award
PhD Defense: Analyzing communicative choices to understand their motivations, context-based variation, and social consequences
Published:
Dissertation Defense Talk
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