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Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
Multiple implementations for abstractive text summurization , using google colab
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"
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…
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…
Helping bi-LSTM models generalize with fewer data points using meta-learning (MAML).
The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18
Compositional generalization through meta sequence-to-sequence learning
Robust Model-Agnostic Meta-Learning for Binary Content Moderation Tasks in NLP
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
The 3 baseline methods for few-shot NER tasks
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…
Natural Language Processing Tutorial for Deep Learning Researchers
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
all kinds of text classification models and more with deep learning
Overwrite huggingface BART and GPT with copy mechanism
ACL 2022: BRIO: Bringing Order to Abstractive Summarization
Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
Different meta-heuristic optimization techniques for feature selection
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Code for ACL 2022 Paper "SUMM^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents"
Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Long-context pretrained encoder-decoder models