NER-LOC | CRF 及 BiLSTMCRF 搭配词性标注实现中文命名实体识别及命名实体检测 | Natural Language Processing library

 by   RicherDong Python Version: Current License: No License

kandi X-RAY | NER-LOC Summary

kandi X-RAY | NER-LOC Summary

NER-LOC is a Python library typically used in Artificial Intelligence, Natural Language Processing, Tensorflow applications. NER-LOC has no bugs, it has no vulnerabilities and it has low support. However NER-LOC build file is not available. You can download it from GitHub.

中文命名实体识别& 中文命名实体检测 python实现 基于字+ 词位 分别使用tensorflow IDCNN+CRF 及 BiLSTM+CRF 搭配词性标注实现中文命名实体识别及命名实体检测
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            kandi-support Support

              NER-LOC has a low active ecosystem.
              It has 57 star(s) with 23 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 542 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of NER-LOC is current.

            kandi-Quality Quality

              NER-LOC has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              NER-LOC 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

              NER-LOC releases are not available. You will need to build from source code and install.
              NER-LOC 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.
              NER-LOC saves you 387 person hours of effort in developing the same functionality from scratch.
              It has 922 lines of code, 60 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed NER-LOC and discovered the below as its top functions. This is intended to give you an instant insight into NER-LOC implemented functionality, and help decide if they suit your requirements.
            • Start training
            • Prepare training data
            • Pad a list of sentences
            • Given a list of sentences and a list of sentences return a mapping each character to the character index
            • R Evaluate a sequence of chunks
            • Return result
            • Get input from line
            • Convert full character to half
            • Replace HTML characters
            • Evaluate a sequence of chunks
            • Checks if a chunk ends of a chunk
            • Parse command line arguments
            • Check if the start of a chunk
            • Produce a summary of counts for each token
            Get all kandi verified functions for this library.

            NER-LOC Key Features

            No Key Features are available at this moment for NER-LOC.

            NER-LOC Examples and Code Snippets

            No Code Snippets are available at this moment for NER-LOC.

            Community Discussions

            QUESTION

            How to get location from text using OpenNLP?
            Asked 2018-Nov-07 at 18:45

            I am using chunking for tagging the data and get the location from the text initially i try to extract noun phrase from next when we use noun phrase name also mentioned as noun phrase so it can't use.then i moved to location ner of core nlp i try to run the below code

            ...

            ANSWER

            Answered 2018-Nov-07 at 18:45

            You have incorrect imports, here is a working version:

            Source https://stackoverflow.com/questions/53193671

            QUESTION

            Apache Tika : Settting classpath for opennlp models on tika-server
            Asked 2018-Aug-20 at 17:26

            I can't seem to set the classpath for the tika-server so that the opennlp models are detected correctly.

            I've followed the instructions here:

            https://wiki.apache.org/tika/TikaAndNER

            (substituting app for -server, seen as that looked like it contained everything required)

            I have created the following folder structure

            ...

            ANSWER

            Answered 2018-Aug-20 at 17:26

            For anyone else having issues, the following command worked for me by removing the -jar and manually specifying the TikaServerCli class

            Source https://stackoverflow.com/questions/51935547

            QUESTION

            openNLP java - multi term Portuguese NER
            Asked 2017-Apr-19 at 18:53

            I'm using openNLP API at java for a project that I'm working on. The thing is that with my program i only process words alone with no correspondence. The code:

            ...

            ANSWER

            Answered 2017-Apr-12 at 11:37

            Stanford-NLP process only on single word. Even if you give coreNLP a Sentence , it break into token and process on them one by one. and I never heard NER apply on multi term.

            Source https://stackoverflow.com/questions/43368131

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

            Vulnerabilities

            No vulnerabilities reported

            Install NER-LOC

            You can download it from GitHub.
            You can use NER-LOC 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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          • HTTPS

            https://github.com/RicherDong/NER-LOC.git

          • CLI

            gh repo clone RicherDong/NER-LOC

          • sshUrl

            git@github.com:RicherDong/NER-LOC.git

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