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miaosha

⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析🙋🐓

multi-criteria-cws

Simple Solution for Multi-Criteria Chinese Word Segmentation

multihead_joint_entity_relation_extraction

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (ACL 2018 demo paper)

neural-dialogue-generation

neural-persona-based-conversation-model-python-version

A python re-implementation of the persona-based neural conversation model proposed by Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, Bill Dolan.

neuralcoref

✨Fast Coreference Resolution in spaCy with Neural Networks

newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

ngram2vec

Four word embedding models implemented in Python. Supporting arbitrary context features

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.

nlpcc-wordseg-weibo

NLPCC 2016 微博分词评测项目

ontonotes-5.0-ner-bio

A BIO formatted Named Entity Recognition data set extracted from the OntoNotes 5.0 release.

out-with-the-old-and-in-with-the-novel

persona.chatbot

simply implement "Personalizing Dialogue Agents: I have a dog, do you have pets too? "

personality-detection

Implementation of a hierarchical CNN based model to detect Big Five personality traits

personality-prediction-from-text

Predict Big 5 personality traits from text

preference-selection-with-neural-network

Preference Selection with Neural Network

python-girlfriend-mood

:kissing_closed_eyes: Analyze her mood through her girlfriend's words ·女朋友聊天时的情绪波动图谱，没女朋友的可自用(雾）。

pytorch-deep-learning-minicourse

Minicourse in Deep Learning with PyTorch

pytorch-rnn-text-classification

Word Embedding + LSTM + FC

pytorch-seq2seq

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

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_joint-word-segmentation-and-pos-tagging

Paper: A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging

pytorch_multi_head_selection_re

BERT + reproduce "Joint entity recognition and relation extraction as a multi-head selection problem" for Chinese and English IE

rnnquoteattribution

Quote attribution through recurrent neural networks

snownlp

Python library for processing Chinese text

software-architecture-style

these codes contain several kinds of software architecture style examples implemented by java

style-transfer-in-text

Paper List for Style Transfer in Text

swe

SWE Toolkit. Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. A general framework to incorporate semantic knowledge into the popular data-driven learning process of word vectors. Applications including word similarity, sentence completion, etc. ACL-2015, Beijing, China

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.