Join Sriparna Saha, Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Patna, India, for an upcoming talk as part of the IST Colloquium Talks Series. The event will be held virtually via Zoom and is open to the public.
About the Talk
Multimodal information processing involves utilizing data from diverse sources such as images, videos, and text to improve real-world applications. This presentation will explore how extracting insights from multiple modalities can enhance tasks like summarization, hate speech detection, complaint mining, and medical question summarization. By combining data from videos, images, and texts, we can create more comprehensive summaries. I will discuss our recent works in multimodal summarization, focusing on areas like comment-aware multimodal summarization, multilingual approaches, and medical question summarization. The talk will also cover the datasets and methods developed to address these challenges in detail.
About the Speaker
Dr. Sriparna Saha is currently serving as an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Patna, India. Currently she is visiting University of South Carolina, Columbia as a Fulbright-Nehru Academic and Professional Fellow. Her current research interests include machine learning, deep learning, natural language processing, and multiobjective optimization. Her h-index is 46 and the total citation count of her papers is 11401 (according to Google-scholar). She is a senior member of IEEE, fellow of IET, UK; IETE. She is regularly publishing in top-tier venues like ACL, AAAI, EMNLP, CIKM etc. with total publication of more than 400. For more details, please visit: www.iitp.ac.in/~sriparna.