2026· International journal of research and scientific innovation· Vol 13, pp. 2358-2361· 0 citations
Abstract
The “Question Answering System Based on Paragraph” is a Python-based web application designed to provide users with a seamless experience in extracting answers from textual content. Built with Flask, the application allows users to securely log in, paste a paragraph of text into an input field, and ask questions about the content. By leveraging the Gemini/OpenAI API, the system comprehends the provided paragraph’s context, enabling it to generate accurate and context-aware answers to user queries. This application is particularly useful for students, researchers, and professionals who need quick insights from large texts without manually searching for information. The project also includes basic user authentication through login and registration features, ensuring a personalized experience. This innovative approach combines natural language processing with advanced AI capabilities to offer an efficient and user- friendly solution for text-based question answering.
An automated question answering system for PDF text analysis using Natural Language Processing (NLP) and transformer-based models that is capable of generating relevant and contextually accurate responses from PDF-based textual data is presented.
Amisha Kumari, Arya Sharma, Diana Kumari Shahi et al.· Journal of Himalaya College...· 0 citations
This work introduces a solution built on top of FairytaleQA and tailored for training a DeBERTa-based model to classify the quality of each candidate to be part of a strong answer-question pair and proposes three strategies based on semantic similarity and text position to ensure coverage and diversity of candidates’ s...
C. Preda, Mihai Dascalu, Stefan Ruseti et al.· International Conference on...· 0 citations
The Chat with Your PDF — Multi-Document Q&A with Source Citations system is an intelligent document-question-answering platform that allows users to interact with multiple PDF documents using natural language. Users often need to read large documents such as research papers, textbooks, reports, manuals, policies, and b...
A. Akhila, K. Ramya, K. Neha et al.· International Journal of Eng...· 0 citations
Students increasingly turn to general-purpose AI chatbots for help with their studies, yet these chatbots answer from
what they absorbed during training rather than from the textbook a student is examined on, and they can state wrong facts with
confidence. This paper presents PDF-SmartAI, a zero-cost web application in...
Fariya Malkani, Perseus Bhavnagri· International Journal for Re...· 0 citations
This article explores asymmetric extractive semantic search, using the large language model (LLM) SBERT. It first examines traditional exact, keyword, and fuzzy match search algorithms, discussing their features and limitations. It then explores how semantic search leverages the capacity of an LLM to capture query inte...
This paper explores the practical implementation of a Chatbot designed to connect natural language communication with database interactions by generating Structured Query Language (SQL) queries through the utilization of OpenAPI, with potential implications for improving human-computer interactions within database syst...
R. Santosa, Hartantya Ainiyatuts Tsaniyah, Yoga Ari Tofan et al.· IPTEK: The Journal for Techn...· 0 citations
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