no code implementations • 18 Oct 2023 • Subinay Adhikary, Sagnik Das, Sagnik Saha, Procheta Sen, Dwaipayan Roy, Kripabandhu Ghosh
The escalating number of pending cases is a growing concern world-wide.
1 code implementation • 16 Oct 2023 • Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala
Given this relationship between WSD and SCD, we explore the possibility of predicting whether a target word has its meaning changed between two corpora collected at different time steps, by comparing the distributions of senses of that word in each corpora.
1 code implementation • 14 Oct 2023 • Zhengxiang Shi, Procheta Sen, Aldo Lipani
To address this, we propose a new dataset, named MULTIWOZ-ENTR, and a measure for LE for conversational systems.
no code implementations • 9 Oct 2023 • Oscar Tuvey, Procheta Sen
The count of pending cases has shown an exponential rise across nations (e. g., with more than 10 million pending cases in India alone).
no code implementations • 7 Oct 2023 • Hongbo Zhu, Angelo Cangelosi, Procheta Sen, Anirbit Mukherjee
This data-efficiency is seen to manifest as LIPEx being able to compute its explanation matrix around 53% faster than all-class LIME, for classification experiments with text data.
no code implementations • 24 Jan 2023 • Procheta Sen, Xi Wang, Ruiqing Xu, Emine Yilmaz
Search engines and conversational assistants are commonly used to help users complete their every day tasks such as booking travel, cooking, etc.
no code implementations • 5 Oct 2021 • Ishani Mondal, Procheta Sen, Debasis Ganguly
In this paper, we propose a general framework for mitigating the disparities of the predicted classes with respect to secondary attributes within the data (e. g., race, gender etc.).
no code implementations • 14 May 2020 • Procheta Sen, Debasis Ganguly
Human society had a long history of suffering from cognitive biases leading to social prejudices and mass injustice.
no code implementations • NAACL 2019 • Procheta Sen, Debasis Ganguly, Gareth Jones
However, this strong assumption may not capture the semantic association between words that co-occur frequently but non-locally within documents.
no code implementations • NAACL 2018 • Procheta Sen, Debasis Ganguly, Gareth Jones
Task extraction is the process of identifying search intents over a set of queries potentially spanning multiple search sessions.