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absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

cnn

用pytorch实现一个CNN对minist数据集进行分类

cnn-dailymail

Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

codet5

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

copynet

An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"

dygiepp

Span-based system for named entity, relation, and event extraction.

evaluation

A custom Rouge wrapper for summary evaluation.

fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

hetersumgraph

Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

johnwong

joint-extraction-of-entities-and-relations-based-on-a-novel-tagging-scheme

Joint Extraction of Entities and Relations Based on cnn+rnn

knowledge_graph_from_unstructured_text

Building knowledge graph from input data

lite-transformer

[ICLR 2020] Lite Transformer with Long-Short Range Attention

mnist_test

基于minist数据集,利用tensorflow,pytorch学习搭建cnn网络,并对比二者实现过程的差异性

mtl-dts

Implementation for "Deeper Task-Specificity Improves Joint Entity and Relation Extraction"

nlp_paper_notes

nyahentai.github.io

NyaHentai喵紳士最新網址發布頁

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

process-data-of-cnn-dailymail

This repository holds the output of the repository: https://github.com/abisee/cnn-dailymail

ptrnetdecoding4jere

Code for modeling encoder-decoder architecture with pointer network for joint entity and relation extraction (AAAI 2020).

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch_graph-rel

A PyTorch implementation of GraphRel

rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

rnn-sim

Running massive simulations using RNNs on CPUs for building bots and all kinds of things.

rsan

Source code for IJCAI 2020 paper "A Relation-Specific Attention Network for Joint Entity and Relation Extraction"

s-lstm

Code for the paper: Sentence-State LSTM for Text Representation

scisumm-corpus

Scientific Document Summarization Corpus and Annotations from the WING NUS group.

seq2seq-summarizer

Pointer-generator reinforced seq2seq summarization in PyTorch

simhash

A Python Implementation of Simhash Algorithm