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nlp-extractive-news-summarization-using-mmr

A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems

nlp-notes

Notes from Stanford NLP Coursera site

nlp-papers

Natural Language Processing Papers

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-projects

text preprocess, word2vec, sentence2vec, text classification (includes sentiment analysis), Chinese word segmentation, Hidden Markov Model, CRFs, named entity recognition, knowledge graph, dialog system, machine reading comprehension, pretraining language model (i.e., BERT, ELMo, GPT)

nlp-reading-group

NLP reading group at the University of Arizona

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_course

YSDA course in Natural Language Processing

nlp_from_zero_to_one

主要是实现nlp常用网络以及结果比较，各模型的优劣势，如:FastText,TextCNN,TextRNN,TextRCNN,BiLSTM,Seq2seq,BERT,Transformer,ELMo以及Attention机制等等。

nlp_highlights

The most important NLP highlights of 2018 (PDF Report)

nlp_papers

NLP papers applicable to financial markets

nlp_project_abstractive_summarization

Used Python “keras” package to develop a unidirectional LSTM based deep learning model “encoder-decoder networks” for title generation on news data set. Improved the architecture by using attention. Created tensorboard visualizations to show the validation accuracy and loss. Evaluated the summaries using the ROUGE score.

nlp_tasks

Natural Language Processing Tasks and References

nlp_url_summarizer

URL articles text summarizer using Web Crawling and NLP (written in Python)

nlpcc-wordseg-weibo

NLPCC 2016 微博分词评测项目

nlpcc2017_news_headline_categorization

NLPCC2017示例代码以及数据描述

nlpforumpostote

Code for extraction of opinions, targets and relations from online discussion posts.

nlpia

nlpir

nlpnet

A neural network architecture for NLP tasks, inspired in the SENNA system. It uses as input vectors built through Vector Space Models and avoid external NLP tools. Currently, it can perform POS tagging, SRL and dependency parsing.

nlpswift

NSLinguisticTagger provides a uniform interface to a variety of natural language processing functionality with support for many different languages and scripts. One can use this class to segment natural language text into paragraphs , sentences, or words and tag information about those segments such as parts of speech, lexical class, lemma!

nlptutorial

A Tutorial about Programming for Natural Language Processing

nlquery

Natural Language Engine on WikiData

nlsam

The reference implementation for the Non Local Spatial and Angular Matching (NLSAM) denoising algorithm for diffusion MRI

nlstm

Nested LSTM Cell

nlu_sim

all kinds of baseline models for sentence similarity

nlvr

Cornell NLVR is a natural language grounding dataset with 92K examples. Each example shows an image and a sentence describing it, and is annotated with the truth-value of the sentence.

nmn

neural module networks

nmn-pytorch

Neural Module Network for VQA in Pytorch