1077 Open source projects that are alternatives of or similar to Nlp Projects

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Curated list of all NLP Resources

A collection of research on knowledge graphs

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

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

Snips Python library to extract meaning from text

Web Service for E-Discovery Analytics

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Topic Modelling for Humans

Accelerated deep learning R&D

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

Kadot, the unsupervised natural language processing library.

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

RMDL: Random Multimodel Deep Learning for Classification

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Deep neural network to extract intelligent information from invoice documents.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Source code and dataset for KDD 2019 paper "Towards Knowledge-Based Personalized Product Description Generation in E-commerce"

搜索所有中文NLP数据集，附常用英文NLP数据集

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Fact Extraction and VERification baseline published in NAACL2018

Paper list of NLP for recommender systems

Key information extraction from text and graph visualization

Sarcasm Detection for Sentiment Analysis

DELTA is a deep learning based natural language and speech processing platform.

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

嵌入Word2vec词向量的CNN中文文本分类

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

FastText for Node.js

a Deep Learning Framework for Text

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

Text classification with Sparse Composite Document Vectors.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Evildork targeting your fiancee👁️

A curated list of NLP resources for Hungarian

HDLTex: Hierarchical Deep Learning for Text Classification

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

2019语言与智能技术竞赛-基于知识图谱的主动聊天

Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval"

This repository for Web Crawling, Information Extraction, and Knowledge Graph build up.

Language Modeling and Text Classification in Malayalam Language using ULMFiT

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Natural language understanding library for chatbots with intent recognition and entity extraction.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

基于Pytorch和torchtext的自然语言处理深度学习框架。

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

Reading list for knowledge-enhanced text generation, with a survey