76 citations · 153 across the 6 of their papers we have counts for
8 papers
Towards Explaining Query Expansion Performance in Information Retrieval
Sourav Saha, Aditya Dutta, Soumajit Pramanik +1
Query Expansion (QE) techniques have long been widely used in Information Retrieval (IR) to address the vocabulary mismatch problem. They remain relevant in modern retrieval system…
DeepPNI: Language- and graph-based model for mutation-driven protein-nucleic acid energetics
Somnath Mondal, Tinkal Mondal, Soumajit Pramanik +1
The interaction between proteins and nucleic acids is crucial for processes that sustain cellular function, including DNA maintenance and the regulation of gene expression and tran…
Unsupervised Named Entity Disambiguation for Low Resource Domains
Debarghya Datta, Soumajit Pramanik
In the ever-evolving landscape of natural language processing and information retrieval, the need for robust and domain-specific entity linking algorithms has become increasingly a…
Complex Temporal Question Answering on Knowledge Graphs
Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy +1
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with temporal intent are a special class of practical importance, but have not received much atte…
UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text
Soumajit Pramanik, Jesujoba Alabi, Rishiraj Saha Roy +1
Question answering over RDF data like knowledge graphs has been greatly advanced, with a number of good systems providing crisp answers for natural language questions or telegraphi…
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models
Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy +1
System-provided explanations for recommendations are an important component towards transparent and trustworthy AI. In state-of-the-art research, this is a one-way signal, though,…
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy +3
Direct answering of questions that involve multiple entities and relations is a challenge for text-based QA. This problem is most pronounced when answers can be found only by joini…
An Unsupervised Dynamic Image Segmentation using Fuzzy Hopfield Neural Network based Genetic Algorithm
Amiya Halder, Soumajit Pramanik
This paper proposes a Genetic Algorithm based segmentation method that can automatically segment gray-scale images. The proposed method mainly consists of spatial unsupervised gray…