Saptarshi Ghosh

Orcid: 0000-0002-2306-300X

Affiliations:
  • Indian Institute of Technology Kharagpur, India
  • Indian Institute of Engineering Science and Technology Shibpur, India (former)
  • Max Planck Institute for Software Systems, Germany (former)
  • Indian Institute of Technology Kharagpur, India (PhD 2013)


According to our database1, Saptarshi Ghosh authored at least 144 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Utilizing the Twitter social media to identify transportation-related grievances in Indian cities.
Soc. Netw. Anal. Min., December, 2024

MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts.
ACM Trans. Web, August, 2024

Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace.
CoRR, 2024

Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems.
CoRR, 2024

Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages.
CoRR, 2024

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization.
CoRR, 2024

Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon.
CoRR, 2024

Artificial Intelligence (AI) in Legal Data Mining.
CoRR, 2024

Antitrust, Amazon, and Algorithmic Auditing.
CoRR, 2024

Ensemble methods for improving extractive summarization of legal case judgements.
Artif. Intell. Law, 2024

Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

How COVID-19 Has Impacted the Anti-vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

The Web of Abuse: A Comprehensive Analysis of Online Resource in the Context of Technology-Enabled Intimate Partner Surveillance.
Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

Convolutional Prompting meets Language Models for Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
DeepRhole: deep learning for rhetorical role labeling of sentences in legal case documents.
Artif. Intell. Law, March, 2023

FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms.
IEEE Trans. Comput. Soc. Syst., 2023

Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Exemplar-Free Continual Transformer with Convolutions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
Proceedings of the Third International Workshop on Artificial Intelligence and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2023) co-located with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 2023

Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe).
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries.
Proceedings of the Working Notes of FIRE 2023, 2023

Helping Hands - An AI based Real Time System for Effective Flood Relief Operations in Indian Cities.
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Legal IR and NLP: The History, Challenges, and State-of-the-Art.
Proceedings of the Advances in Information Retrieval, 2023

AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022
Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022.
SIGIR Forum, June, 2022

Discretization Using Combination of Heuristics for High Accuracy With Huge Noise Reduction.
IEEE Trans. Knowl. Data Eng., 2022

Utilizing microblogs for optimized real-time resource allocation in post-disaster scenarios.
Soc. Netw. Anal. Min., 2022

Legal case document similarity: You need both network and text.
Inf. Process. Manag., 2022

What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations.
CoRR, 2022

Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors.
CoRR, 2022

Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets.
CoRR, 2022

Pre-training Transformers on Indian Legal Text.
CoRR, 2022

A sequence labeling model for catchphrase identification from legal case documents.
Artif. Intell. Law, 2022

Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Winds of Change: Impact of COVID-19 on Vaccine-Related Opinions of Twitter Users.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Social Media for Post-Disaster Relief: Mapping Needs and Availabilities to UNOCHA Resource Classes.
Proceedings of the ICDCN '22: 23rd International Conference on Distributed Computing and Networking, Delhi, AA, India, January 4, 2022

Overview of the FIRE 2022 track: Information Retrieval from Microblogs during Disasters (IRMiDis).
Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation, 2022

ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection.
ACM J. Data Inf. Qual., 2021

Unsupervised approaches for measuring textual similarity between legal court case reports.
Artif. Intell. Law, 2021

Improving Legal Case Summarization Using Document-Specific Catchphrases.
Proceedings of the Legal Knowledge and Information Systems, 2021

An Analytical Study of Algorithmic and Expert Summaries of Legal Cases.
Proceedings of the Legal Knowledge and Information Systems, 2021

Incorporating domain knowledge for extractive summarization of legal case documents.
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

Overview of the Third Shared Task on Artificial Intelligence for Legal Assistance at FIRE 2021.
Proceedings of the Working Notes of FIRE 2021, 2021

AILA 2021: Shared task on Artificial Intelligence for Legal Assistance.
Proceedings of the FIRE 2021: Forum for Information Retrieval Evaluation, Virtual Event, India, December 13, 2021

Overview of the FIRE 2021 track: Information Retrieval from Microblogs during Disasters (IRMiDis).
Proceedings of the FIRE 2021: Forum for Information Retrieval Evaluation, Virtual Event, India, December 13, 2021

When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Utilising Social Media for Post-Disaster Resource Allocation.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Information Retrieval from Microblogs During Disasters: In the Light of IRMiDis Task.
SN Comput. Sci., 2020

A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media.
CoRR, 2020

Methods for Computing Legal Document Similarity: A Comparative Study.
CoRR, 2020

Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance.
Proceedings of the FIRE 2020: Forum for Information Retrieval Evaluation, 2020

Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance.
Proceedings of the Working Notes of FIRE 2020, 2020

Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Utilizing Social Media for Identifying Drug Addiction and Recovery Intervention.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities.
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, 2020

2019
Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media.
IEEE Trans. Comput. Soc. Syst., 2019

Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations.
IEEE Trans. Comput. Soc. Syst., 2019

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries.
Proc. ACM Hum. Comput. Interact., 2019

Ensemble-based overlapping community detection using disjoint community structures.
Knowl. Based Syst., 2019

Search bias quantification: investigating political bias in social media and web search.
Inf. Retr. J., 2019

Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations.
Inf. Retr. J., 2019

Utilizing microblogs for assisting post-disaster relief operations via matching resource needs and availabilities.
Inf. Process. Manag., 2019

Clustering Model for Microblogging Sites using Dimension Reduction Techniques.
Int. J. Inf. Syst. Model. Des., 2019

Identification of Rhetorical Roles of Sentences in Indian Legal Judgments.
Proceedings of the Legal Knowledge and Information Systems, 2019

A Network-centric Framework for Auditing Recommendation Systems.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Identifying fact-checkable microblogs during disasters: a classification-ranking approach.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance.
Proceedings of the Working Notes of FIRE 2019, 2019

FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance.
Proceedings of the FIRE '19: Forum for Information Retrieval Evaluation, 2019

A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments.
Proceedings of the Advances in Information Retrieval, 2019

Identifying Multi-dimensional Information from Microblogs During Epidemics.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Stance Detection in Web and Social Media: A Comparative Study.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2018
Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters.
ACM Trans. Web, 2018

Characterizing and Countering Communal Microblogs During Disaster Events.
IEEE Trans. Comput. Soc. Syst., 2018

Attribute selection for improving spam classification in online social networks: a rough set theory-based approach.
Soc. Netw. Anal. Min., 2018

Report on the Second Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2018) at the Web Conference (WWW) 2018.
SIGIR Forum, 2018

Analysis and Early Detection of Rumors in a Post Disaster Scenario.
Inf. Syst. Frontiers, 2018

Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends.
Inf. Syst. Frontiers, 2018

Ensemble Algorithms for Microblog Summarization.
IEEE Intell. Syst., 2018

Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries.
CoRR, 2018

Fairness of Extractive Text Summarization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Retrieving Information from Multiple Sources.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

WWW'18 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness: Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Automatic Matching of Resource Needs and Availabilities in Microblogs for Post-Disaster Relief.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Overview of the FIRE 2018 track: Information Retrieval from Microblogs during Disasters (IRMiDis).
Proceedings of the 10th annual meeting of the Forum for Information Retrieval Evaluation, 2018

International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017
ECIR 2017 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2017).
SIGIR Forum, 2017

Sleeping beauties in Computer Science: characterization and early identification.
Scientometrics, 2017

Longitudinal Privacy Management in Social Media: The Need for Better Controls.
IEEE Internet Comput., 2017

On Quantifying Knowledge Segregation in Society.
CoRR, 2017

Microblog Retrieval for Post-Disaster Relief: Applying and Comparing Neural IR Models.
CoRR, 2017

Optimizing the Recency-Relevancy Trade-off in Online News Recommendations.
Proceedings of the 26th International Conference on World Wide Web, 2017

Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents.
Proceedings of the Working notes of FIRE 2017, 2017

Overview of the FIRE 2017 track: Information Retrieval from Microblogs during Disasters (IRMiDis).
Proceedings of the Working notes of FIRE 2017, 2017

Microblog Retrieval in a Disaster Situation: A New Test Collection for Evaluation.
Proceedings of the First International Workshop on Exploitation of Social Media for Emergency Relief and Preparedness co-located with European Conference on Information Retrieval, 2017

A Novel Word Embedding Based Stemming Approach for Microblog Retrieval During Disasters.
Proceedings of the Advances in Information Retrieval, 2017

Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Measuring Similarity among Legal Court Case Documents.
Proceedings of the 10th Annual ACM India Compute Conference, 2017

Combining Local and Global Word Embeddings for Microblog Stemming.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Automatic Catchphrase Identification from Legal Court Case Documents.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Identifying Post-Disaster Resource Needs and Availabilities from Microblogs.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
An empirical study of socialbot infiltration strategies in the Twitter social network.
Soc. Netw. Anal. Min., 2016

Forgetting in Social Media: Understanding and Controlling Longitudinal Exposure of Socially Shared Data.
Proceedings of the Twelfth Symposium on Usable Privacy and Security, 2016

Dissemination Biases of Social Media Channels: On the Topical Coverage of Socially Shared News.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters.
Proceedings of the Working notes of FIRE 2016, 2016

Microblog Retrieval During Disasters: Comparative Evaluation of IR Methodologies.
Proceedings of the Text Processing, 2016

On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs.
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

2015
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream.
ACM Trans. Web, 2015

#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Characterizing Information Diets of Social Media Users.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Extracting situational awareness from microblogs during disaster events.
Proceedings of the 7th International Conference on Communication Systems and Networks, 2015

Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Reverse Engineering Socialbot Infiltration Strategies in Twitter.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Sentiment Detection in Online Content: A WordNet Based Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Predicting Trends in the Twitter Social Network: A Machine Learning Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Inferring user interests in the Twitter social network.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Deep Twitter diving: exploring topical groups in microblogs at scale.
Proceedings of the Computer Supported Cooperative Work, 2014

2013
Understanding Evolution of Inter-Group Relationships Using Bipartite Networks.
IEEE J. Sel. Areas Commun., 2013

Run-time delays in Indian Railways: is traffic the cause?
Proceedings of the Annual Symposium on Computing for Development, 2013

On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Degree distributions of evolving alphabetic bipartite networks and their projections.
Theor. Comput. Sci., 2012

Effects of a soft cut-off on node-degree in the Twitter social network.
Comput. Commun., 2012

Inferring who-is-who in the Twitter social network.
Comput. Commun. Rev., 2012

Understanding and combating link farming in the twitter social network.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Cognos: crowdsourcing search for topic experts in microblogs.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Detecting overlapping communities in folksonomies.
Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 2012

2011
Spammers' networks within online social networks: a case-study on Twitter.
Proceedings of the 20th International Conference on World Wide Web, 2011

Identifying overlapping communities in folksonomies or tripartite hypergraphs.
Proceedings of the 20th International Conference on World Wide Web, 2011

Assessing the Effects of a Soft Cut-Off in the Twitter Social Network.
Proceedings of the NETWORKING 2011, 2011

2010
The Effects of Restrictions on Number of Connections in OSNs: A Case-Study on Twitter.
Proceedings of the 3rd Workshop on Online Social Networks, 2010

2008
Combining content and structure similarity for XML document classification using composite SVM kernels.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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