most citedTopics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.IR2018

Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets

Shashank Gupta, Manish Gupta, Vasudeva Varma +3

Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care. Current ADR surveillance systems are often associated with a substantial time lag before su…

cs.IR2018

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets

Shashank Gupta, Manish Gupta, Vasudeva Varma +3

Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care. Current ADR surveillance systems are often associated with a substantial time lag before su…

cs.CL20171 cited

Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification

Sachin Pawar, Nitin Ramrakhiyani, Swapnil Hingmire +1

We propose a Label Propagation based algorithm for weakly supervised text classification. We construct a graph where each document is represented by a node and edge weights represe…

cs.CL2017

Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals

Girish Keshav Palshikar, Sachin Pawar, Saheb Chourasia +1

Performance appraisal (PA) is an important HR process to periodically measure and evaluate every employee's performance vis-a-vis the goals established by the organization. A PA pr…

cs.IR2017

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction

Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani +2

Social media is an useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for ph…