16 citations · 58 across the 21 of their papers we have counts for
4 papers · 1 filter
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization
Abhisek Tiwari, Anisha Saha, Sriparna Saha +2
With the advancement of telemedicine, both researchers and medical practitioners are working hand-in-hand to develop various techniques to automate various medical operations, such…
Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric
Abhisek Tiwari, Muhammed Sinan, Kaushik Roy +3
Over the past two decades, dialogue modeling has made significant strides, moving from simple rule-based responses to personalized and persuasive response generation. However, desp…
Few-shot Anomaly Detection in Text with Deviation Learning
Anindya Sundar Das, Aravind Ajay, Sriparna Saha +1
Most current methods for detecting anomalies in text concentrate on constructing models solely relying on unlabeled data. These models operate on the presumption that no labeled an…
Large Scale Multi-Lingual Multi-Modal Summarization Dataset
Yash Verma, Anubhav Jangra, Raghvendra Kumar +1
Significant developments in techniques such as encoder-decoder models have enabled us to represent information comprising multiple modalities. This information can further enhance…