10 citations · 25 across the 14 of their papers we have counts for
15 papers
Explain like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation
Michael Llordes, Debasis Ganguly, Sumit Bhatia +1
Neural retrieval models (NRMs) have been shown to outperform their statistical counterparts owing to their ability to capture semantic meaning via dense document representations. T…
Query-specific Variable Depth Pooling via Query Performance Prediction towards Reducing Relevance Assessment Effort
Debasis Ganguly, Emine Yilmaz
Due to the massive size of test collections, a standard practice in IR evaluation is to construct a 'pool' of candidate relevant documents comprised of the top-k documents retrieve…
On the Feasibility and Robustness of Pointwise Evaluation of Query Performance Prediction
Suchana Datta, Debasis Ganguly, Derek Greene +1
Despite the retrieval effectiveness of queries being mutually independent of one another, the evaluation of query performance prediction (QPP) systems has been carried out by measu…
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction
Suchana Datta, Debasis Ganguly, Derek Greene +1
Motivated by the recent success of end-to-end deep neural models for ranking tasks, we present here a supervised end-to-end neural approach for query performance prediction (QPP).…
An Analysis of Variations in the Effectiveness of Query Performance Prediction
Debasis Ganguly, Suchana Datta, Mandar Mitra +1
A query performance predictor estimates the retrieval effectiveness of an IR system for a given query. An important characteristic of QPP evaluation is that, since the ground truth…
Multi-Objective Few-shot Learning for Fair Classification
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.)…
TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics
Yufang Hou, Charles Jochim, Martin Gleize +2
Tasks, Datasets and Evaluation Metrics are important concepts for understanding experimental scientific papers. However, most previous work on information extraction for scientific…
ALEX: Active Learning based Enhancement of a Model's Explainability
Ishani Mondal, Debasis Ganguly
An active learning (AL) algorithm seeks to construct an effective classifier with a minimal number of labeled examples in a bootstrapping manner. While standard AL heuristics, such…
Community Structure aware Embedding of Nodes in a Network
Swarup Chattopadhyay, Debasis Ganguly
Detecting communities or the modular structure of real-life networks (e.g. a social network or a product purchase network) is an important task because the way a network functions…
Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation
Anirban Chakraborty, Debasis Ganguly, Annalina Caputo +1
An automated contextual suggestion algorithm is likely to recommend contextually appropriate and personalized 'points-of-interest' (POIs) to a user, if it can extract information f…
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
Procheta Sen, Debasis Ganguly
Human society had a long history of suffering from cognitive biases leading to social prejudices and mass injustice. The prevalent existence of cognitive biases in large volumes of…
Approximate Nearest Neighbour Search on Privacy-aware Encoding of User Locations to Identify Susceptible Infections in Simulated Epidemics
Chandan Biswas, Debasis Ganguly, Ujjwal Bhattacharya
Amidst an increasing number of infected cases during the Covid-19 pandemic, it is essential to trace, as early as possible, the susceptible people who might have been infected by t…
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
Yufang Hou, Charles Jochim, Martin Gleize +2
While the fast-paced inception of novel tasks and new datasets helps foster active research in a community towards interesting directions, keeping track of the abundance of researc…
Extracting Factual Min/Max Age Information from Clinical Trial Studies
Yufang Hou, Debasis Ganguly, Lea A. Deleris +1
Population age information is an essential characteristic of clinical trials. In this paper, we focus on extracting minimum and maximum (min/max) age values for the study samples f…
Representing Documents and Queries as Sets of Word Embedded Vectors for Information Retrieval
Dwaipayan Roy, Debasis Ganguly, Mandar Mitra +1
A major difficulty in applying word vector embeddings in IR is in devising an effective and efficient strategy for obtaining representations of compound units of text, such as whol…