Sankaran Narayanan - researchr alias

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Viewing Publication 1 - 9 from 9

2022

A contextual multi-task neural approach to medication and adverse events identification from clinical textSankaran Narayanan, Kaivalya Mannam, Pradeep Achan, Maneesha V. Ramesh, P. Venkat Rangan, Sreeranga P. Rajan. jbi, 125:103960, 2022. [doi]

2021

Clinical Note Section Identification Using Transfer LearningNamrata Nair, Sankaran Narayanan, Pradeep Achan, K. P. Soman. icict 2022: 533-542 [doi]

Unified concept and assertion detection using contextual multi-task learning in a clinical decision support systemSankaran Narayanan, Pradeep Achan, P. Venkat Rangan, Sreeranga P. Rajan. jbi, 122:103898, 2021. [doi]

2020

Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity ExtractionSankaran Narayanan, Kaivalya Mannam, Sreeranga P. Rajan, P. Venkat Rangan. acl-clinicalnlp 2020: 55-64 [doi]

2018

Hybrid Architectures for Large-Scale Blended Classrooms: A Case StudyR. Ajith Kumar, T. Suchith Soman, Sankaran Narayanan, Kamal Bijlani. icccnt 2018: 1-7 [doi]

Automatic Assessment Item Bank Calibration for Learning Gap IdentificationSankaran Narayanan, Fensa Merry Saj, Kamal Bijlani, Sreeranga P. Rajan. icacci 2018: 1429-1435 [doi]

2017

Unsupervised Learning of Question Difficulty Levels Using Assessment ResponsesSankaran Narayanan, Vamsi Sai Kommuri, N. Sethu Subramanian, Kamal Bijlani, Nandu C. Nair. iccsa 2017: 543-552 [doi]

Question bank calibration using unsupervised learning of assessment performance metricsSankaran Narayanan, Vamsi Sai Kommuri, N. Sethu Subramanian, Kamal Bijlani. icacci 2017: 19-25 [doi]

2002

Integrating Internet Telephony ServicesWenyu Jiang, Jonathan Lennox, Sankaran Narayanan, Henning Schulzrinne, Kundan Singh, Xiaotao Wu. internet, 6(3):64-72, 2002. [doi]

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