AlaBaSoAya | : page_with_curl : SemEval-2016 Task

by sunprinceS Python Version: Current License: No License

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

kandi X-RAY | AlaBaSoAya Summary

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

##Goal: compare the difference between Linear LSTM and TreeLSTM , does Linear LSTM can learn the "tree structure"?. Subtask1: #Slot1: LibSVM to classify OTE from sentence #Slot2: 還在想 #Slot3: * auto-encoder(Linear LSTM) * TreeLSTM concat sentence embedding and aspect info to predict polarity. ##SubTask2: Use Slot1’s classifier to choose possible category from "text" Use this category and those sentence with it to predict the polarity,collect them to text’s {OTE,polarity}. ##SubTask3: similar to subtask2. ##Problem to be solved: * How to concat categry and sentence embedding? * How to use the target word(relate to category)'s info in sentence embedding ?(concat :p) * How to use models in specific domain to predict unseen domain.

Support

Quality

Security

License

Reuse

Support

AlaBaSoAya has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of AlaBaSoAya is current.

Quality

AlaBaSoAya has no bugs reported.

Security

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

License

AlaBaSoAya 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

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

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

Create the network graph .
Predict using svm .
Train the model .
Parse options .
main function of test
Load a constant tree .
Load a dependency tree .
Splits the files in sents .
Allocates the given module
Write the labels for the given trees .

Get all kandi verified functions for this library.

AlaBaSoAya Key Features

No Key Features are available at this moment for AlaBaSoAya.

AlaBaSoAya Examples and Code Snippets

No Code Snippets are available at this moment for AlaBaSoAya.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install AlaBaSoAya

You can download it from GitHub.
You can use AlaBaSoAya 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: