Recent publications
Hari Prasad Piridi, Prajna Upadhyay, Dipanjan Chakraborty. DVAE-GNN: A Dual Variational Autoencoder Graph Neural Network for Anomaly Detection in Attributed Networks. Accepted at the CoDS-COMAD. 2024
Chaitra CR, Sankalp Kulkarni, Sai Rama Akash Varma Sagi, Shashank Pandey, Rohit Yalavarthy, Dipanjan Chakraborty and Prajna Upadhyay. LeGen: End-to-end Legal Information Extraction using Generative Models. Accepted at the Natural Legal Language Processing Workshop to be held with EMNLP. 2024
Harshit Verma, M Bhargav, Ritvik, Chetana Gavankar, Prajna Upadhyay. Question-Answering System in Computer Science. Accepted at the GenAI Workshop colocated with AIML Systems. 2024
Chaitra CR, Prajna Upadhyay, Dipanjan Chakraborty. Is ChatGPT Ready for Indian-language Speakers? Findings From a Preliminary Mixed Methods Study. Accepted at IndiaHCI: The 15th Indian Conference on Human-Computer Interaction. 2024
Arnav Yayavaram, Siddharth Yayavaram, Prajna Upadhyay, Apurba Das. BERT-based Idiom Identification using Language Translation and Word Cohesion. MWE-UD, held in conjunction with LREC-COLING. 2024
Nelly Barret, Ioana Manolescu, Prajna Upadhyay. Computing Generic Abstractions from Application Datasets. In Extending Database Technology Conference (EDBT). 2024
Prajna Upadhyay, Oana Balalau, Ioana Manolescu. Open Information Extraction with Entity-Focused Constraints. EACL (Findings). 2023
Nelly Barret, Ioana Manolescu, Prajna Upadhyay. Abstra: Toward Generic Abstractions for Data of Any Model. CIKM Demo. 2022
Prajna Upadhyay, Maya Ramanath. PreFace++: Faceted Retrieval of Prerequisites and Technical Data. In The European Conference on Information Retrieval (ECIR Demo Track). 2021
Prajna Upadhyay, Maya Ramanath. PreFace: Faceted Retrieval of Prerequisites Using Domain-Specific Knowledge Bases. In The International Semantic Web Conference (ISWC). 2020
Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath. Aspect-Based Academic Search Using Domain-Specific KB. In The European Conference on Information Retrieval. (ECIR). 2020
Prajna Upadhyay, Ashutosh Bindal, Manjeet Kumar, and Maya Ramanath. Construction and Applications of TeKnowbase: A Knowledge Base of Computer Science Concepts. In Companion Proceedings of The Web Conference 2018 (WWW ). 2018
Pre-prints and Informal Publications
Nelly Barret, Ioana Manolescu, Prajna Upadhyay. Computing Generic Abstractions from Application Datasets. 2023. (Accepted at BDA, Informal Publication Only).
Nelly Barret, Ioana Manolescu, Prajna Upadhyay. Abstra: Toward Generic Abstractions for Data of Any Model. In The 38th Conference "Gestion de Données - Principes, Technologies et Applications" (BDA). 2022 (Informal Publication only)
Nelly Barret, Ioana Manolescu, Prajna Upadhyay. Toward Generic Abstractions for Data of Any Model. In The 37th Conference "Gestion de Données - Principes, Technologies et Applications" (BDA). 2021 (Informal Publication only)
Prajna Upadhyay, Maya Ramanath. Construction and Applications of TeKnowbase. In The SciNLP Workshop held with AKBC 2020 (SciNLP). 2020 (Extended Abstract, Non-Archival)
Prajna Upadhyay and Tanuma Patra and Ashwini Purkar and Maya Ramanath. TeKnowbase: Towards Construction of a Knowledge-base of Technical Concepts. Technical Report available from: https://arxiv.org/abs/1612.04988. 2016