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搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
🏦 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com
An open-source online reverse dictionary.
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
Program and Coding exercises for interview
Enriched version of the E2E dataset introduced in INLG 2021
The enriched version of the WebNLG described at INLG 2018
Investigating Pretrained Language Models for Graph-to-Text Generation
Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"
Survey of Surveys for Natural Language Processing (SOS4NLP)
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Source code for our "TitleStylist" paper at ACL 2020
Code for SIGIR-2020 full paper: DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation
A Knowledge Grounded Conversation (KGC) Paper Reading List Maintained by Chuan Meng.
Author: Wenhao Yu ([email protected]). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
This repo is to present various code demos on how to use our Graph4NLP library.
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
State-of-the-Art Text Embeddings
Code, Data and Demo for Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting
Code for paper "Stylized Dialogue Response Generation Using Stylized Unpaired Texts"
A curated list of recent models of text generation and application
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Transformer-Based Conditioned Variational Autoencoder for Story Completion
KG-BART: Knowledge Graph-Augmented BART for GenerativeCommonsense Reasoning