Shivani Kumar
Pursuing Ph.D. @Laboratory for Computational Social Systems, IIITD
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Education
2019-Present
Ph.D.
Laboratory for Computational Social Systems, IIITD
2017-2019
M.Sc. Computer Science
Department of Computer Science, University of Delhi
2014-2017
B.Sc. (H) Computer Science
Shaheed Sukhdev College of Business Studies, University of Delhi
2002-2014
School
Queen Mary’s SchoolTis Hazari, New Delhi; CBSE, Delhi
Work Experience 2023-Present
Research Intern at Media and Data Science Research (MDSR) Lab. Adobe Research, India.
Topic: Domain Adaptable Dialogue Foundation Model
Mentors: Dr. Sumit Bhatia, Milan Aggarwal
Team Lead: Dr. Balaji Krishnamurthy
Publications
Shivani Kumar, Shubham Dudeja, Md Shad Akhtar, Tanmoy Chakraborty, Emotion Flip Reasoning in Multiparty Conversations, IEEE Transactions on Artificial Intelligence, 2023.
Shivani Kumar, Ishani Mondal, Md Shad Akhtar, Tanmoy Chakraborty, Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues, AAAI, 2023.
Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, Tanmoy Chakraborty, When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues, ACL, 2022.
Shivani Kumar, Anubhav Shrimal, Md Shad Akhtar, Tanmoy Chakraborty. Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer, Knowledge-Based Systems, 2022.
Shivani Kumar, Manjot Bedi, Md Shad Akhtar, Tanmoy Chakraborty. Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations, IEEE Transactions on Affective Computing, 2021.
Teaching/Guest Lectures
Teaching Assistant for Social Network Analysis for NPTEL, 2023.
Teaching Assistant for Social Network Analysis for NPTEL, 2022.
Teaching Assistant for Social Network Analysis at IIITD, 2022.
Teaching Assistant for post graduate level Machine Learning at IIITD, 2021.
Teaching Assistant for Natural Language Processing in PG Diploma in Data Science and AI at IIITD, 2021.
Delivered a guest lecture at IIITD on the subject ‘Social Media Analytics’ with a hands-on for Sentiment Analysis, 2019 & 2021.
Awards and Achievement
Received Google travel grant, Microsoft travel grant, and ACM-India/IARCS Travel Grant to support the travel to Dublin, Ireland for ACL 2022.
Received Junior Research Fellowship (JRF) from University Grants Commission (UGC), India. Qualified UGC-NET (National Eligibility Test).
Delivered guest lectures at IIITD on the subject ’Social Media Analytics’
Certificate of Merit awarded by Shaheed Sukhdev College of Business Studies for securing 2nd position in college in B.Sc.(H) Computer Science in the session 2014-2017.
Positions of Responsibility
Co-organizer of EDiReF - a shared task at SemEval 2024.
PC member for CONSTRAINT 2022, a workshop collocated with ACL 2022.
Served as a mentor in the Desh ka Mentor program of Delhi Government mentoring four high school students.
Co-organized 19th International Conference on Natural Language Processing (ICON 2022) at IIITD.
Co-Organized ACSS 2021 (Workshop on AI for Computational Social Systems 2021) at IIITD.
Co-Organized ACSS 2020 (Workshop on AI for Computational Social Systems 2020) and COFAD 2020 (Workshop on Combating Fraud Activities using Data Science) at IIITD.
Rapporteur in "The International Colloquium on Ethics and Governance of Autonomous AI Systems" (18-19 February 2019) organized by CMS and Infocom think tank.
Member of Core Committee (Curatio – Shaheed Sukhdev College of Business Studies): Organized a career counselling event for the students of B.Sc. and B.Tech. College’s alumni were invited to share their experiences.
Alexa Skills
M.Sc. Thesis
Concept Map of a Book
We developed an automated system that constructs a concept map of a given book as a network, using its PDF. The map shows the relationship between concepts throughout the book, with links connecting concepts in related chapters and sections. The resultant network can be used by readers to get an idea of the concepts covered in the book, their placement in chapters and their interrelation. It can also be used to locate and focus on concepts of interest. The system was implemented using Python.