Disfluency Correction using Unsupervised and Semi-supervised Learning

no code implementations • EACL 2021 • Nikhil Saini, Drumil Trivedi, Shreya Khare, Tejas Dhamecha, Preethi Jyothi, Samarth Bharadwaj, Pushpak Bhattacharyya

Spoken language is different from the written language in its style and structure.

speech-recognition Speech Recognition +1

Pre-Training BERT on Domain Resources for Short Answer Grading

no code implementations • IJCNLP 2019 • Chul Sung, Tejas Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora

Pre-trained BERT contextualized representations have achieved state-of-the-art results on multiple downstream NLP tasks by fine-tuning with task-specific data.

Language Modelling

Learning Outcomes and Their Relatedness in a Medical Curriculum

no code implementations • WS 2019 • Sneha Mondal, Tejas Dhamecha, Shantanu Godbole, Smriti Pathak, Red Mendoza, K Gayathri Wijayarathna, Nabil Zary, Swarnadeep Saha, Malolan Chetlur

A typical medical curriculum is organized in a hierarchy of instructional objectives called Learning Outcomes (LOs); a few thousand LOs span five years of study.

Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System

no code implementations • NAACL 2019 • Shazia Afzal, Tejas Dhamecha, Nirmal Mukhi, Renuka Sindhgatta, Smit Marvaniya, Matthew Ventura, Jessica Yarbro

There are significant challenges involved in the design and implementation of a dialog-based tutoring system (DBT) ranging from domain engineering to natural language classification and eventually instantiating an adaptive, personalized dialog strategy.

General Classification Sociology