Kripabandhu Ghosh

Fairness for Whom? Understanding the Reader's Perception of Fairness in\n Text Summarization

2021 · arXiv (Cornell University)

With the surge in user-generated textual information, there has been a recent\nincrease in the use of summarization algorithms for providing an overview of\nthe extensive content. Traditional metrics for evaluation of these algorithms\n(e.g. ROUGE scores) rely …

Summarizing User-generated Textual Content: Motivation and Methods for\n Fairness in Algorithmic Summaries

2018 · arXiv (Cornell University)

As the amount of user-generated textual content grows rapidly, text\nsummarization algorithms are increasingly being used to provide users a quick\noverview of the information content. Traditionally, summarization algorithms\nhave been evaluated only based on how well they …

Overview of CryptOQA: Opinion Extraction and Question Answering from CryptoCurrency-Related Tweets and Reddit Posts

2024

Cryptocurrency is an exponentially growing domain, and Twitter and Reddit are important outlets for users to hold opinions or ask questions or discuss about certain topics.The CryptoQA track at FIRE 2024, seeks to develop systems …