868 Open source projects that are alternatives of or similar to Relation-Classification

Pytorch re-implementation of R-BERT model

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基于Pytorch和torchtext的自然语言处理深度学习框架。

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A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

CNN-RNN中文文本分类，基于TensorFlow

Awesome-Text-Classification Projects,Papers,Tutorial .

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Data augmentation for NLP, presented at EMNLP 2019

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Chinese Question Classifier (Keras Implementation) on BQuLD

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A PyTorch-based toolkit for natural language processing

Word Embedding + LSTM + FC

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

🗣️ Tool to generate adversarial text examples and test machine learning models against them

RMDL: Random Multimodel Deep Learning for Classification

Machine learning based text classification in JavaScript using n-grams and cosine similarity

all kinds of text classification models and more with deep learning

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。

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

Repo for Applied Text Mining in Python (coursera) by University of Michigan

A Causal Relation Schema for Text

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

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Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

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Semantic Textual Similarity in Python

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Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.

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Predicting Consumer Purchase intention using Twitter Data

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

Sarcasm Detection for Sentiment Analysis

Dialogue-Based Relation Extraction

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…

小时候练手的nlp项目

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

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Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks

Keras implementation of Character-level CNN for Text Classification

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My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

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ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

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