activity
20172026
most citedRelation Extraction : A Survey

76 citations · 78 across the 8 of their papers we have counts for

collaborators

11 papers

cs.AI2026

Financial Audit Assistance using Misinformation Detection and Explanation

Kshitij Madhav Jadhav, Sushodhan Vaishampayan, Manoj Apte +3

Financial statements (FS) such as Balance Sheet (BS), Income Statement (IS) and Cash-flow Statement (CS) summarize the annual financial performance of a company. FS are widely used…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2020★ 1 cited

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…

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.CL2017★ 76 cited

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…

cs.CL2017★ 1 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.AI2017

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…

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…