The goal of the project is to generate a short and concise summary that captures the salient ideas of the source text using attention model. The generated summaries potentially contain new phrases and sentences that may not appear in the source text

Scalable Machine Learning Process for Abstractive Text Summarization in German and English with Google-T5

TF-IDF based Extractive & BERT based Abstractive text summarizer with an Interactive GUI for ease of use.

Complimentary code for our paper HunSum-1: an Abstractive Summarization Dataset for Hungarian

Using a deep learning model that takes advantage of LSTM and a custom Attention layer, we create an algorithm that is able to train on reviews and existent summaries to churn out and generate brand new summaries of its own.

Tools for document summarization

Interactive news summarizer system that leverages avatar narration and text to speech conversion techniques.

Bachelor diploma thesis

Paper List (Regarding Current Projects). Mainly includes: 1) Abstractive Summarization 2) Argument Generation 3) Baseline

This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.

Word-based abstractive text summarization using seq2seq-modeling with attention

Longformer Encoder Decoder model for the legal domain, trained for long document abstractive summarization task.

Abstractive text summarization models having encoder decoder architecture built using just LSTMs, Bidirectional LSTMs and Hybrid architecture and trained on TPU. Also pre-trained word embedding is used to speed up the process.

Hindi News Text Summarization

Original PyTorch implementation for TASLP 2022 Paper "SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization."

For any given research paper , find the contributing statements present in it.

Проект по курсу Физтеха "Методы оптимизации". Суть проекта заключается в исследовании методов extractive summarization.

An Efficient Memory-Enhanced Language Model for Long Document Summarization

AACL'2022: Unsupervised Single Document Abstractive Summarization using Semantic Units

ELSA combines extractive and abstractive approaches to the automatic text summarization