Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
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Updated
May 10, 2020 - Jupyter Notebook
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Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
User Simulation for Task-Completion Dialogues
Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.
基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
Abstractive summarisation using Bert as encoder and Transformer Decoder
Accelerated Text helps you to automatically generate natural language descriptions of your data, varying in wording and structure.
Neural question generation using transformers
A curated list of resources dedicated to Natural Language Generation (NLG)
中文文本生成(NLG)之文本摘要(text summarization)工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。(graph,feature,topic model,summarize tool or tookit)
AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training
Papers and Book to look at when starting NLP
This repository have scripts and Jupyter-notebooks to perform all the different steps involved in Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
MediaWiki extension to handle multilingual abstract content
generate questions and summaries for your texts
NLGen: a library for creating recursive-descent natural language generators
Paper collection of Neural Text Generation
Semantic Web related concepts converted to Natural language
EMNLP 2019: Generating Personalized Recipes from Historical User Preferences
NYPM needs a logo.... but we should def first change the favicon to not be the react logo -___-
product recommendation text generation using OpenCCG
( ACL 2019 ) “Automatic Generation of Personalized Comment Based on User Profile“
An NLP system for generating reading comprehension questions
Unsupervised Controllable Text Generation (Applied to text Formalization)
EMNLP 2018. Learning to Describe Differences Between Pairs of Similar Images. Harsh Jhamtani, Taylor Berg-Kirkpatrick.
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Well, Gumbel Distribution is magical. Basically, given a sequence of K logits, i.e., "\log a_1, \log a_2, ..., \log a_K" and K independent gumbel random variables, i.e., "g_1, g_2, ..., g_K". We have
This gives you a very simple way to sampl