Agrima Seth

Agrima Seth

Ph.D. student, School of Information

Information Retrieval and Query Reformulation

less than 1 minute read

Published:

Indexing and evaluating the indexed ClueWeb12-B dataset and wrote an algorithm for automated query reformulation using concepts of graph theory

During June-July 2015, I got an opportunity to work as undergraduate summer research at Institut de Recherche en Informatique de Toulouse under the guidance of Prof. Josiane Mothe with her team SIG.

During this period, I performed a comparative study intending to find a better method of indexing Clueweb12-B(shards and complete dataset) using terrier. After that, I devised a method for automated query reformulation using the concepts of graph theory such as indegree of nodes linked to the query terms and used them to query the ClueWeb12-B dataset. The algorithm showed positive results with a subset of the actual data, and the testing for the complete dataset is scheduled for December 2015.

You May Also Enjoy

COVID-19 Risk Calculator

less than 1 minute read

Published:

With the world trying to resume all activities as they were before the COVID-19 pandemic, citizens need to judge their risk levels from gatherings and activities. The numerous determinants and the evolving nature of risk make it confusing for the public to understand the risk from various activities. Hence we created this risk calculator app, the paper was accepted at Nature Scientific Reports.

Anomaly Detection using Machine Learning for Data Quality Monitoring in the CMS Experiment

less than 1 minute read

Published:

The project aims at applying recent progress in Machine Learning techniques to the automation of quality assessment allowing the check of large volumes of data in real-time and improving the ability to detect unexpected features. The test implementation was presented to a panel of Physicist and Computer scientists; I was awarded the 2nd position for my work.

CERN Webfest

less than 1 minute read

Published:

Created a text summarization and analytics platform that works on top of messaging systems being used at CERN, Switzerland. Programmed various natural language processing and machine learning routines for answering users’ queries (summary, most important chats and keywords). ParityApp