mindnlp/examples

• MindNLP Examples
• • Supported Tasks in MindNLP 💡
  • • Classification 📊
    • Language Model 🧠
    • Machine Translation 🌐
    • Question Answer❓
    • Sequence Labeling 🏷️
    • Text Generation 📝

MindNLP Examples

MindNLP currently supports a variety of different NLP tasks and offers a wide range of state-of-the-art open-source models. We provide them in the form of examples.

Supported Tasks in MindNLP 💡

MindNLP is a versatile repository that supports a variety of natural language processing tasks. It offers a wide array of state-of-the-art models for these tasks. Here's a brief overview:

Classification 📊

MindNLP supports text classification tasks, including sentiment analysis, document classification, and more. You can quickly classify text into predefined categories or analyze sentiment.

Task	Model	Dataset	Example
Sentiment analysis	BERT	Emotect	Notebook
	GPT	IMDB	Notebook
	Bi-LSTM	IMDB	Notebook
Chinese news	NeZha	THUCNews	Notebook

Language Model 🧠

MindNLP provides access to cutting-edge language models, which can be used for tasks like text generation, text completion, and text classification. These models are highly capable of understanding and generating human-like text.

Model	Dataset	Example
FastText	AGNews	Script

Machine Translation 🌐

MindNLP supports machine translation, allowing you to translate text from one language to another. It covers a wide range of language pairs and ensures accurate translations.

Model	Dataset	Example
Seq2seq(GRU)	Multi30k	Notebook

Question Answer❓

You can build question answering systems using MindNLP. Given a context and a question, these models can extract answers directly from the provided text.

Model	Dataset	Example
Bidaf	Squad1	Notebook

Sequence Labeling 🏷️

For tasks like named entity recognition (NER) and part-of-speech tagging, MindNLP offers sequence labeling models. These models can identify and label entities or segments within a text.

Task	Model	Dataset	Example
Named Entity Recognation	Bi-LSTM+CRF	Coll2003	Notebook
	BERT+Bi-LSTM+CRF	Coll2003	Notebook

Text Generation 📝

MindNLP includes models for text generation, which can create new text based on provided prompts, generate creative content, or produce concise summaries of long documents or articles.

Task	Model	Dataset	Example
Named Entity Recognation	GPT2	NLPCC2017	Notebook