https://github.com/ambidextrous9/mtp-news-article-based-question-answering-system

MTP-FlanT5-SBERT-Model-for-NewsQA-and-Teacher-Student-Model
https://github.com/ambidextrous9/mtp-news-article-based-question-answering-system

bm25 flan-t5 language-model newsqa nlp qa question-answering sbert transformer

Last synced: about 1 month ago
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MTP-FlanT5-SBERT-Model-for-NewsQA-and-Teacher-Student-Model

• Host: GitHub
• URL: https://github.com/ambidextrous9/mtp-news-article-based-question-answering-system
• Owner: ambideXtrous9
• Created: 2023-01-30T07:08:07.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-04-12T14:42:38.000Z (over 1 year ago)
• Last Synced: 2025-03-01T07:27:31.322Z (9 months ago)
• Topics: bm25, flan-t5, language-model, newsqa, nlp, qa, question-answering, sbert, transformer
• Language: Jupyter Notebook
• Homepage:
• Size: 3.77 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# FlanT5-SBERT-Model-for-NewsQA

## Proposed Model Architecture

![FlanT5BM25](https://github.com/ambideXtrous9/FlanT5-SBERT-Model-for-NewsQA/assets/31372586/23ff235e-4c03-487c-99b2-0fa739432248)

![SBERT](https://github.com/ambideXtrous9/FlanT5-SBERT-Model-for-NewsQA/assets/31372586/f393bec2-6666-448c-b315-957bc02fb083)

![TSEDTF](https://github.com/ambideXtrous9/FlanT5-SBERT-Model-for-NewsQA/assets/31372586/6fc3b5ed-94d7-4171-b1e3-53f2ab3e57ea)

## Model for Question-Answering with Context and without Context based on Indian News Dataset.

![QAA](https://github.com/ambideXtrous9/FlanT5-SBERT-Model-for-NewsQA/assets/31372586/b81f0fba-f062-4b83-aaed-956c9b1133f8)