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An Automatic Answer Summariser developed using Python, PyTorch, and HuggingFace trained on Quora Dataset aimed at summarizing and providing a single answer to a question using answers from multiple users.

Python 100.00%
huggingface-transformers multi-document-summarization nlp python3 pytorch quora summarization

multiperspective-answer-summariser's Introduction

Multiperspective-Answer-Summariser

Python PyTorch

This repo contains the code for implementation of multiperspective answer summarizer model.

Requirements

  • torch
  • transformers
  • python3

Instructions

The models were trained on the following data DATASET

There are three models - two baseline models and one finetuned model. The code for the models can be found in the Models directory. Report.pdf contains the information about the results obtained.

Folder Structure

The folder structure is as follows:

.
├── README.md
├── Report.pdf
├── Models
│   ├── anlp_baseline1.py
│   ├── anlp_baseline2.py
│   └── model.py
└──  Dataset_Paper.pdf

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