Abstract_Extraction | 百度AI Studio的问答摘要与推理项目，使用Seq2SeqAttention实现，使用Beam

by qq751220449 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Abstract_Extraction Summary

Abstract_Extraction is a Python library. Abstract_Extraction has no bugs, it has no vulnerabilities and it has low support. However Abstract_Extraction build file is not available. You can download it from GitHub.

百度AI Studio的问答摘要与推理项目，使用Seq2Seq+Attention实现，使用Beam Search和惩罚重复来解决预测文本重复的问题，使用PGN网络来解决生成摘要存在OOV词汇的问题

Support

Quality

Security

License

Reuse

Support

Abstract_Extraction has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Abstract_Extraction has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Abstract_Extraction is current.

Quality

Abstract_Extraction has no bugs reported.

Security

Abstract_Extraction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Abstract_Extraction does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Abstract_Extraction releases are not available. You will need to build from source code and install.

Abstract_Extraction has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Abstract_Extraction and discovered the below as its top functions. This is intended to give you an instant insight into Abstract_Extraction implemented functionality, and help decide if they suit your requirements.

Generate examples
Calculate the sequence of decinp and target tokens
Map abstract words to ids
Given a list of articles return a list of ids
Train a Keras model
Calculate coverage loss
Mask values by padding
Compute the loss function
Save training data
Read stopwords from file
Removes words from a list
Builds a vocabulary
Load dataset
Parse data from training and test files
Build a word2vec model
Load word2vec
Train the model
Performs beam decoding
Read data from two files
Evaluate the model
Split train and validation
Builds the vocabulary
Builds vocabulary
Read data from files
Save word dictionary to file
Create dataset for training data
Saves word dictionary to file
Preprocess a sentence
Calculate the epoch time between start_time and end_time

Get all kandi verified functions for this library.

Abstract_Extraction Key Features

No Key Features are available at this moment for Abstract_Extraction.

Abstract_Extraction Examples and Code Snippets

No Code Snippets are available at this moment for Abstract_Extraction.

Community Discussions

No Community Discussions are available at this moment for Abstract_Extraction.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Abstract_Extraction

You can download it from GitHub.
You can use Abstract_Extraction like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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