Search Results for author: Saptarshi Ghosh

Found 20 papers, 11 papers with code

FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms

1 code implementation1 Apr 2022 Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

To this end, our experiments on multiple real-world RIR datasets reveal that the existing RIR algorithms often result in very skewed exposure distribution of items, and the quality of items is not a plausible explanation for such skew in exposure.

Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers

no code implementations8 Feb 2022 Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

While investigating for the fairness of the default action, we observe that over a set of as many as 1000 queries, in nearly 68% cases, there exist one or more products which are more relevant (as per Amazon's own desktop search results) than the product chosen by Alexa.

Fairness voice assistant

LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents

1 code implementation29 Dec 2021 Shounak Paul, Pawan Goyal, Saptarshi Ghosh

The task of Legal Statute Identification (LSI) aims to identify the legal statutes that are relevant to a given description of Facts or evidence of a legal case.

When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces

no code implementations30 Jan 2021 Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

Along a number of our proposed bias measures, we find that the sponsored recommendations are significantly more biased toward Amazon private label products compared to organic recommendations.


An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection

1 code implementation9 Jan 2021 Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh

To enable tasks such as search/retrieval and classification over all the available data, we need robust algorithms for text normalization, i. e., for cleaning different kinds of noise in the text.

Information Retrieval Optical Character Recognition +1

Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need

no code implementations COLING 2020 Shounak Paul, Pawan Goyal, Saptarshi Ghosh

Additionally, we propose a novel model that utilizes sentence-level charge labels as an auxiliary task, coupled with the main task of document-level charge identification in a multi-task learning framework.

Multi-Task Learning

Machine Learning assisted Chimera and Solitary states in Networks

no code implementations2 Nov 2020 Niraj Kushwaha, Naveen Kumar Mendola, Saptarshi Ghosh, Ajay Deep Kachhvah, Sarika Jalan

First, the chimera states (solitary states) are engineered by establishing delays in the neighboring links of a node (the interlayer links) in a 2-D lattice (multiplex network) of oscillators.

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions

1 code implementation23 Jul 2020 Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh

Most existing algorithms for cross-modal Information Retrieval are based on a supervised train-test setup, where a model learns to align the mode of the query (e. g., text) to the mode of the documents (e. g., images) from a given training set.

Cross-Modal Information Retrieval Image Retrieval +3

Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities

no code implementations18 Jul 2020 Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh

The few prior works that attempted matching only considered the resources, and no attempt has been made to understand other aspects of needs/availabilities that are essential for matching in practice.

Stance Detection in Web and Social Media: A Comparative Study

1 code implementation12 Jul 2020 Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh

Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances.

Stance Detection

Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity

no code implementations7 Jul 2020 Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh

We propose to augment the PCNet with the hierarchy of legal statutes, to form a heterogeneous network Hier-SPCNet, having citation links between case documents and statutes, as well as citation and hierarchy links among the statutes.

NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities

1 code implementation WS 2020 Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh

Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario -- identifying resource-needs and resource-availabilities in the disaster-affected region, coupled with their subsequent matching.

Information Retrieval

Methods for Computing Legal Document Similarity: A Comparative Study

no code implementations26 Apr 2020 Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh

Computing similarity between two legal documents is an important and challenging task in the domain of Legal Information Retrieval.

Information Retrieval

Identification of Chimera using Machine Learning

1 code implementation16 Jan 2020 M. A. Ganaie, Saptarshi Ghosh, Naveen Mendola, M. Tanveer, Sarika Jalan

The oblique random forest with null space regularization achieved consistent performance (more than $83\%$ accuracy) across different dynamical models while the auto-encoder based random vector functional link neural network showed relatively lower performance.

Identification of Rhetorical Roles of Sentences in Indian Legal Judgments

1 code implementation13 Nov 2019 Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner

Automatically understanding the rhetorical roles of sentences in a legal case judgement is an important problem to solve, since it can help in several downstream tasks like summarization of legal judgments, legal search, and so on.

A Network-centric Framework for Auditing Recommendation Systems

no code implementations7 Feb 2019 Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh

In this work, we propose a novel network-centric framework which is not only able to quantify various static properties of RSs, but also is able to quantify dynamic properties such as how likely RSs are to lead to polarization or segregation of information among their users.

Recommendation Systems

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

1 code implementation22 Oct 2018 Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty

Specifically, considering that an extractive summarization algorithm selects a subset of the textual units (e. g. microblogs) in the original data for inclusion in the summary, we investigate whether this selection is fair or not.

Extractive Summarization Fairness +1

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