DialogueRelationClassification | new dataset for interpersonal relation classification

by JiaQiSJTU Python Version: Current License: No License

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

kandi X-RAY | DialogueRelationClassification Summary

DialogueRelationClassification is a Python library. DialogueRelationClassification has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

DDRel: A new dataset for interpersonal relation classification in dyadic dialogues

Support

Quality

Security

License

Reuse

Support

DialogueRelationClassification has a low active ecosystem.

It has 10 star(s) with 1 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DialogueRelationClassification is current.

Quality

DialogueRelationClassification has no bugs reported.

Security

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

License

DialogueRelationClassification 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

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

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

Train BertBaseline
Return a DataLoader for training data
Return a test data loader
Setup the conversation pairs
Compute the score for each experiment
Compute the accuracy score for each sample
Compute the per - pair score for each experiment
Compute the per - pair score
Preprocess the context
Encodes a sentence
Test BertBaseline
Apply sliding window amplification
Creates argument parser
Compute tqdm metrics for each epoch
Compute the tqdm epoch end
Outputs the test epoch end
Compute the TQdm epoch end
Compute metrics for each epoch
Performs BERT window processing
Interact with a conversation model
Train the LSTM model
Preprocess tokenization
Train a CNN model
Test the CNN
Test LSTM dataset
Preprocess the input context

Get all kandi verified functions for this library.

DialogueRelationClassification Key Features

No Key Features are available at this moment for DialogueRelationClassification.

DialogueRelationClassification Examples and Code Snippets

No Code Snippets are available at this moment for DialogueRelationClassification.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install DialogueRelationClassification

You can download it from GitHub.
You can use DialogueRelationClassification 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 .

Find more information at: