98 citations · 107 across the 7 of their papers we have counts for
7 papers
Decoding News Bias: Multi Bias Detection in News Articles
Bhushan Santosh Shah, Deven Santosh Shah, Vahida Attar
News Articles provides crucial information about various events happening in the society but they unfortunately come with different kind of biases. These biases can significantly d…
A Framework for Ranking Content Providers Using Prompt Engineering and Self-Attention Network
Gosuddin Kamaruddin Siddiqi, Deven Santhosh Shah, Radhika Bansal +1
This paper addresses the problem of ranking Content Providers for Content Recommendation System. Content Providers are the sources of news and other types of content, such as lifes…
Local Life: Stay Informed Around You, A Scalable Geoparsing and Geotagging Approach to Serve Local News Worldwide
Deven Santosh Shah, Gosuddin Kamaruddin Siddiqi, Shiying He +1
Local news has become increasingly important in the news industry due to its various benefits. It offers local audiences information that helps them participate in their communitie…
What's happening in your neighborhood? A Weakly Supervised Approach to Detect Local News
Deven Santosh Shah, Shiying He, Gosuddin Kamaruddin Siddiqi +1
Local news articles are a subset of news that impact users in a geographical area, such as a city, county, or state. Detecting local news (Step 1) and subsequently deciding its geo…
Application of Hierarchical Temporal Memory Theory for Document Categorization
Deven Shah, Pinak Ghate, Manali Paranjape +1
The current work intends to study the performance of the Hierarchical Temporal Memory(HTM) theory for automated classification of text as well as documents. HTM is a biologically i…
Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding
Avijit Shah, Topojoy Biswas, Sathish Ramadoss +1
Comprehensive understanding of key players and actions in multiplayer sports broadcast videos is a challenging problem. Unlike in news or finance videos, sports videos have limited…
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Shah, H. Andrew Schwartz, Dirk Hovy
An increasing number of works in natural language processing have addressed the effect of bias on the predicted outcomes, introducing mitigation techniques that act on different pa…