Mrinal Rawat

According to our database, Mrinal Rawat authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

REFINE on Scarce Data: Retrieval Enhancement Through Fine-Tuning via Model Fusion of Embedding Models.

Ambuje Gupta, Mrinal Rawat, Andreas Stolcke, Roberto Pieraccini

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning.

Mrinal Rawat, Hithesh Sankararaman, Victor Barrès

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

2022

Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations.

Mrinal Rawat, Victor Barrès

CoRR, 2022

2021

PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation.

Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig

CoRR, 2021

ROC Bot: Towards Designing Virtual Command Centre for Energy Management.

Rishi Tiwari, Mohammed Afaque, Amit Sangroya, Mrinal Rawat

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

Automated Evidence Collection for Fake News Detection.

Mrinal Rawat, Diptesh Kanojia

Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), National Institute of Technology Silchar, Silchar, India, December 16, 2021

2020

Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction.

Mouli Rastogi, Syed Afshan Ali, Mrinal Rawat, Lovekesh Vig, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning.

Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Using Formal Concept Analysis to Explain Black Box Deep Learning Classification Models.

Amit Sangroya, C. Anantaram, Mrinal Rawat, Mouli Rastogi

Proceedings of the 7th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence, 2019

Enabling Natural Language Analytics over Relational Data Using Formal Concept Analysis.

C. Anantaram, Mouli Rastogi, Mrinal Rawat, Pratik Saini

Proceedings of the 7th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence, 2019

2018

Visual Predictive Analytics using iFuseML.

Gunjan Sehgal, Mrinal Rawat, Bindu Gupta, Garima Gupta, Geetika Sharma, Gautam Shroff

Proceedings of the 9th International EuroVis Workshop on Visual Analytics, 2018

Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot.

Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Repairing ASR output by Artificial Development and Ontology based Learning.

C. Anantaram, Amit Sangroya, Mrinal Rawat, Aishwarya Chhabra

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots.

Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018