Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
The Genie open source kit for voice assistant (formerly known as Almond)
Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)
Awesome-Text-Classification Projects,Papers,Tutorial .
Neural Paraphrase Generation
torchtext使用总结,从零开始逐步实现了torchtext文本预处理过程,包括截断补长,词表构建,使用预训练词向量,构建可用于PyTorch的可迭代数据等步骤。并结合Pyt...
Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.0141...
Python code for various NLP metrics
Abstractive Text Summarization using Transformer
语义理解/口语理解,项目包含有词法分析:中文分词、词性标注、命名实体识别;口语理解:领域分类、槽填充、意图识别。
multi-gpu pre-training in one machine for BERT from scratch without horovod
Preprocessing Library for Natural Language Processing
A Ruby natural language processor.
Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
A list of pretrained Transformer models for the Russian language.
spaCy + UDPipe
This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.
Deprecated, the Web Neural Network Polyfill project has been moved to https://github.com/webmachinelearning/webnn-polyfill
Implementation of BERT in R
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
Conversational text Analysis using various NLP techniques
Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
Espial is an engine for automated organization and discovery of personal knowledge
Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
A painless way to pick future time.
Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
package lingo provides the data structures and algorithms required for natural language processing
Norwegian NLP Resources
Deep contextualized word representations for Chinese
Using pre trained word embeddings (Fasttext, Word2Vec)
A command-line toolkit to extract text content and category data from Wikipedia dump files
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Building a fake news detector from initial ideation to model deployment
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
NAACL'2021: Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240
论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.
Lightning Fast Language Prediction 🚀
中文垃圾短信识别(手写分类器)
Lexicon-based Named Entity Recognition
Open solution to the Toxic Comment Classification Challenge
a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.
Your Advanced Twitter stalking tool
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
Lazy, AI chatbot service.
A web app to create and browse text visualizations for automated customer listening.
第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案
AMR Parsing as Sequence-to-Graph Transduction
Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.