76 citations · 78 across the 9 of their papers we have counts for
13 papers
Alliance Beats Isolation: Unifying Heterogeneous Allied Datasets Improves Classifier Performance
Girish Keshav Palshikar
In many application domains, such as student dropout, insurance fraud, loan approval, and machine failures, several labelled public datasets are available where (i) data is about t…
Personalized and Aspiration-Oriented Career Path Recommendation
Kuleshwar Sahu, Girish Keshav Palshikar, Rajiv Srivastava
Fulfilling career aspirations is important for growth of employee and organization. We propose a data driven methodology to recommend personalized career path for a given aspirant'…
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources
Swapnil Hingmire, Irene Li, Rena Kawamura +11
A classification scheme of a scientific subject gives an overview of its body of knowledge. It can also be used to facilitate access to research articles and other materials relate…
Techniques for Jointly Extracting Entities and Relations: A Survey
Sachin Pawar, Pushpak Bhattacharyya, Girish K. Palshikar
Relation Extraction is an important task in Information Extraction which deals with identifying semantic relations between entity mentions. Traditionally, relation extraction is ca…
Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text
Sachin Pawar, Ravina More, Girish K. Palshikar +2
We propose a knowledge-based approach for extraction of Cause-Effect (CE) relations from biomedical text. Our approach is a combination of an unsupervised machine learning techniqu…
Extracting N-ary Cross-sentence Relations using Constrained Subsequence Kernel
Sachin Pawar, Pushpak Bhattacharyya, Girish K. Palshikar
Most of the past work in relation extraction deals with relations occurring within a sentence and having only two entity arguments. We propose a new formulation of the relation ext…
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…
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…
Relation Extraction : A Survey
Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya
With the advent of the Internet, large amount of digital text is generated everyday in the form of news articles, research publications, blogs, question answering forums and social…
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…
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…
End-to-End Relation Extraction using Markov Logic Networks
Sachin Pawar, Pushpak Bhattacharya, Girish K. Palshikar
The task of end-to-end relation extraction consists of two sub-tasks: i) identifying entity mentions along with their types and ii) recognizing semantic relations among the entity…
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…