Publications
Accuracy is not enough: Evaluating personalization in summarizers
Rahul Vansh, Darsh Rank, Sourish Dasgupta, Tanmoy Chakraborty
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP; Findings) • 2023
Text summarization models are evaluated in terms of their accuracy and quality using various measures such as ROUGE, BLEU, METEOR, BERTScore, PYRAMID, readability, and several other recently proposed ones. The central objective of all accuracy measures is to evaluate the model’s ability to capture saliency accurately...
AutoReco: A Tool for Recommending Requirements for their Non-Conformance with Requirement Templates (RTs)
Shivani Balwani, Saurabh Tiwari, Sourish Dasgupta, Akhilesh Sharma
2023
RTs generally possess a fixed syntactic structure and comprise pre-defined slots, and requirements written in the format of RTs must conform with the template structure. If the requirements do not conform to the RT, manually rewriting them to adhere to th...
Inline Citation Classification Using Peripheral Context and Time-Evolving Augmentation
Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty
PAKDD • 2023
Citation plays a pivotal role in determining the associations among research articles. It portrays essential information in indicative, supportive, or contrastive studies. The task of inline citation classification aids in extrapolating these relationship...
Consistency Analysis of NLP Approaches for a Conference Reviewer-Manuscript Match-Making System
Nishith Kotak, Anil K. Roy, Sourish Dasgupta, Tirthankar Ghosal
2021 IEEE 18th India Council International Conference (INDICON) • 2021
Peer-review process is an important part of scholarly communication. The quality of a conference also depends on its peer-review process. The selection of a competent reviewer to review a submitted manuscript in a conference, is a crucial facet of a peer-...
A Consistency Analysis of Different NLP Approaches for Reviewer-Manuscript Matchmaking
Nishith Kotak, Anil K. Roy, Sourish Dasgupta, Tirthankar Ghosal
Lecture Notes in Computer Science • 2021
Selecting a potential reviewer to review a manuscript, submitted at a conference is a crucial task for the quality of a peer-review process that ultimately determines the success and impact of any conference. The approach adopted to find the potential rev...
Faster Private Rating Update via Integer-Based Homomorphic Encryption
Puja Verma, Anish Mathuria, Sourish Dasgupta
Lecture Notes in Computer Science • 2021
Improving Access to Science for Social Good
Mehdi Ali, Sahar Vahdati, S. P. Singh, Sourish Dasgupta, Jens Lehmann
Communications in computer and information science • 2020
One of the major goals of science is to make the world socially a good place to live. The old paradigm of scholarly communication through publishing has generated enormous amount of heterogeneous data and metadata. However, most of the scientific results ...
Item-Based Privacy-Preserving Recommender System with Offline Users and Reduced Trust Requirements
Puja Verma, Anish Mathuria, Sourish Dasgupta
Lecture Notes in Computer Science • 2019
Safeguarding privacy of ratings assigned by users is an important issue for recommender systems. There are several existing protocols that allow a server to generate recommendations from homomorphically encrypted ratings, thereby ensuring privacy of ratin...
An Enhanced Privacy-Preserving Recommender System
Puja Verma, Harshul Vaishnav, Anish Mathuria, Sourish Dasgupta
Communications in computer and information science • 2019
A recommender system stores historical data collected over a long period from various users, these are used to predict how new and existing users would rate an item. As user data is stored by the system, this poses threat to user’s privacy. The goal of a ...
An Enhanced Privacy-Preserving Recommender System.
Puja Verma, Harshul Vaishnav, Anish Mathuria, Sourish Dasgupta
2018
A recommender system stores historical data collected over a long period from various users, these are used to predict how new and existing users would rate an item. As user data is stored by the system, this poses threat to user’s privacy. The goal of a ...
SimDoc
Gaurav Maheshwari, Priyansh Trivedi, Harshita Sahijwani, Kunal Jha, Sourish Dasgupta, Jens Lehmann
2017
Document similarity is the problem of estimating the degree to which a given pair of documents has similar semantic content. An accurate document similarity measure can improve several enterprise relevant tasks such as document clustering, text mining, an...
s-Birds Avengers: A Dynamic Heuristic Engine-Based Agent for the italicAngry Birds/italic Problem
Sourish Dasgupta, Savan Vaghela, Vishwa Modi, Hitarth Kanakia
IEEE transactions on computational intelligence and AI in games • 2016
Angry Birds is a popular video game in which a set of birds has to perform sling shots (bird shots) so as to kill pigs that are protected by a structure composed of different building blocks. The fewer birds we use and the more blocks we destroy, the high...
AskNow: A Framework for Natural Language Query Formalization in SPARQL
Mohnish Dubey, Sourish Dasgupta, Ankit Sharma, Konrad Höffner, Jens Lehmann
Lecture Notes in Computer Science • 2016
Natural Language Query Formalization involves semantically parsing queries in natural language and translating them into their corresponding formal representations. It is a key component for developing question-answering (QA) systems on RDF data. The chos...
SMARTSPACE: Multiagent Based Distributed Platform for Semantic Service Discovery
Sourish Dasgupta, Anoop Aroor, Feichen Shen, Yugyung Lee
IEEE transactions on systems, man, and cybernetics • 2014
Service discovery is an integral issue in the area of service oriented computing (SOC). A centralized platform based service discovery suffers from major drawbacks such as scalability and a single point of failure. A P2P based design incurs high maintenan...
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