NCEL | Neural Collective Entity Linking in COLING'18 | Machine Learning library
kandi X-RAY | NCEL Summary
kandi X-RAY | NCEL Summary
NCEL is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. NCEL has no bugs, it has no vulnerabilities and it has low support. However NCEL build file is not available. You can download it from GitHub.
This is the code of the Neural Collective Entity Linking in COLING'18, which proposed a model that performs global Entity Linking (EL) combining deep neural networks with Graph Convolutional Network (GCN).
This is the code of the Neural Collective Entity Linking in COLING'18, which proposed a model that performs global Entity Linking (EL) combining deep neural networks with Graph Convolutional Network (GCN).
Support
Quality
Security
License
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Support
NCEL has a low active ecosystem.
It has 37 star(s) with 7 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 0 have been closed. On average issues are closed in 497 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of NCEL is current.
Quality
NCEL has 0 bugs and 0 code smells.
Security
NCEL has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
NCEL code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
NCEL 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.
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NCEL releases are not available. You will need to build from source code and install.
NCEL has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
NCEL saves you 3223 person hours of effort in developing the same functionality from scratch.
It has 6927 lines of code, 416 functions and 44 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed NCEL and discovered the below as its top functions. This is intended to give you an instant insight into NCEL implemented functionality, and help decide if they suit your requirements.
- Get the global flags
- Perform a forward computation
- Calculate embedding for the given sents
- Convert a variable to a GPU
- Run embeddings
- Compute feature embedding
- Get the neighbors of the given embedding
- Builds the graph
- Compute expand neighbors
- Load words from a file
- Run the model
- Sample a graph of a given entity
- Sample from the given entity
- Returns a sample of the graph
- Inspect a single batch
- Print out information about a document
- Set flag values
- Generate a new xml file for each document
- Print the contents of a document
- Extract features from the given document
- Read training data from file
- Forward computation
- Perform forward computation
- Compute the expandCandidates
- Format the query text as a XML file
- Calculate stats for each candidate
- Build candidates from prior file
- Record the candidates for a given rank and length
Get all kandi verified functions for this library.
NCEL Key Features
No Key Features are available at this moment for NCEL.
NCEL Examples and Code Snippets
No Code Snippets are available at this moment for NCEL.
Community Discussions
Trending Discussions on NCEL
QUESTION
SFTP file transfer error - connecting to an unknown server and add its host key
Asked 2021-Mar-30 at 06:02
I have created the batch to transfer the file using SSH keys, I checked the public and private key mapping on both the servers and it's working fine.
My Windows batch code using SFTP command is as follows:
...ANSWER
Answered 2021-Mar-23 at 07:12To verify a host key in WinSCP script, add -hostkey switch to the open command:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NCEL
You can download it from GitHub.
You can use NCEL 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.
You can use NCEL 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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