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Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network

Python 320 73 Updated Oct 1, 2019

Multiple implementations for abstractive text summurization , using google colab

Jupyter Notebook 530 219 Updated Oct 6, 2020

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Python 429 58 Updated May 3, 2023

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

Python 1,431 187 Updated Mar 6, 2025

Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"

Python 43 5 Updated Oct 15, 2022

OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve access to justice in India. BUILD is the first benchmark data…

Python 39 19 Updated Apr 17, 2024

This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Micr…

Python 277 94 Updated Mar 16, 2024

Helping bi-LSTM models generalize with fewer data points using meta-learning (MAML).

Jupyter Notebook 5 Updated Jul 2, 2023

The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18

Python 33 14 Updated May 7, 2018

Compositional generalization through meta sequence-to-sequence learning

Python 83 11 Updated Jan 7, 2020

Robust Model-Agnostic Meta-Learning for Binary Content Moderation Tasks in NLP

Python 3 Updated Mar 15, 2020

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

Python 393 54 Updated Sep 7, 2023

The 3 baseline methods for few-shot NER tasks

Python 57 11 Updated Dec 10, 2021
Jupyter Notebook 87 34 Updated Feb 10, 2025
Jupyter Notebook 10 2 Updated Jan 29, 2025

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, Ro…

Jupyter Notebook 307 97 Updated May 9, 2020

Natural Language Processing Tutorial for Deep Learning Researchers

Jupyter Notebook 14,494 3,961 Updated Feb 21, 2024

基于Pytorch实现的一些经典自然语言处理模型中文短文本分类任务,包含TextCNN,TextRCNN,FastText,BERT,ROBERT以及ERNIE

Python 53 6 Updated Jun 29, 2020

all kinds of text classification models and more with deep learning

Python 7,896 2,569 Updated Sep 28, 2023

Overwrite huggingface BART and GPT with copy mechanism

Python 19 1 Updated May 3, 2023

ACL 2022: BRIO: Bringing Order to Abstractive Summarization

Python 333 42 Updated Oct 10, 2024

Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"

Python 66 8 Updated Jul 4, 2021

Different meta-heuristic optimization techniques for feature selection

Python 40 24 Updated May 19, 2020

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Python 4,159 726 Updated May 29, 2024

基于GPT2的中文摘要生成模型

Python 409 85 Updated Jul 6, 2023

Code for ACL 2022 Paper "SUMM^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents"

Python 59 7 Updated Jul 28, 2022

Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization

Python 55 10 Updated Aug 2, 2023

Long-context pretrained encoder-decoder models

Python 94 13 Updated Oct 28, 2022
Python 9 Updated Oct 12, 2022
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