76 citations · 78 across the 6 of their papers we have counts for
10 papers
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…