webanno | Persian NER project -

 by   Akbar30Bill Shell Version: Current License: No License

kandi X-RAY | webanno Summary

kandi X-RAY | webanno Summary

webanno is a Shell library. webanno has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Persian NER project
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            kandi-support Support

              webanno has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              webanno has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of webanno is current.

            kandi-Quality Quality

              webanno has 0 bugs and 0 code smells.

            kandi-Security Security

              webanno has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              webanno code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              webanno does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

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

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            webanno Key Features

            No Key Features are available at this moment for webanno.

            webanno Examples and Code Snippets

            No Code Snippets are available at this moment for webanno.

            Community Discussions

            QUESTION

            Does the notation of a named entity label type in spacy have to match with the notation of the annotated label type in the training data?
            Asked 2020-Feb-11 at 20:55

            I want to train the NER-Model by spaCy on my own corpus, which was annotated via WebAnno. Unfortunately, the notation of one NE category in spaCy does not match with the respective notation in WebAnno: In WebAnno, the label is "OTH" whereas spaCy labels it "MISC" (semantically, it's the same). Would this affect the training process or the test accuracy in a negative way? Is it necessary to train an additional NE type "OTH" in this case? Thank you for your help!

            spaCy version used: 2.2.5

            ...

            ANSWER

            Answered 2020-Feb-11 at 20:55

            Yes, of course you want to keep annotations aligned. If it's a one-off operation, it might be easiest to brute-force the problem by replacing the string in your data.

            The more canonical option would appear to be TagMap: https://spacy.io/usage/adding-languages#tag-map. Quote:

            [...] you need to define how [your tags] map down to the Universal Dependencies tag set.

            Their example:

            Source https://stackoverflow.com/questions/60176633

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

            Vulnerabilities

            No vulnerabilities reported

            Install webanno

            You can download it from GitHub.

            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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          • HTTPS

            https://github.com/Akbar30Bill/webanno.git

          • CLI

            gh repo clone Akbar30Bill/webanno

          • sshUrl

            git@github.com:Akbar30Bill/webanno.git

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