BiLSTM-CRF | 中文命名实体识别 English NER | Natural Language Processing library

 by   guocheng2018 Python Version: Current License: MIT

kandi X-RAY | BiLSTM-CRF Summary

kandi X-RAY | BiLSTM-CRF Summary

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

中文命名实体识别 | English NER
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              BiLSTM-CRF has a low active ecosystem.
              It has 13 star(s) with 2 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              BiLSTM-CRF has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of BiLSTM-CRF is current.

            kandi-Quality Quality

              BiLSTM-CRF has no bugs reported.

            kandi-Security Security

              BiLSTM-CRF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              BiLSTM-CRF is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              BiLSTM-CRF releases are not available. You will need to build from source code and install.
              BiLSTM-CRF 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed BiLSTM-CRF and discovered the below as its top functions. This is intended to give you an instant insight into BiLSTM-CRF implemented functionality, and help decide if they suit your requirements.
            • Evaluate the model
            • Get emissions from seqs and masks
            • Determine the best tags from the input sequence
            • Compute precision recall and f1 score
            • Replace digits with zero
            • Check if s is a number
            • Transforms the input data into a single word
            • Calculate the loss function
            • Fill vocabulary
            • Read a text file
            • Return a list of the tags for the given sentence
            • Load a pickled object
            • Dump an object to a file
            Get all kandi verified functions for this library.

            BiLSTM-CRF Key Features

            No Key Features are available at this moment for BiLSTM-CRF.

            BiLSTM-CRF Examples and Code Snippets

            No Code Snippets are available at this moment for BiLSTM-CRF.

            Community Discussions

            Trending Discussions on BiLSTM-CRF

            QUESTION

            regarding one code segment in computing log_sum_exp
            Asked 2020-May-18 at 05:18

            In this tutorial on using Pytorch to implement BiLSTM-CRF, author implements the following function. In specific, I am not quite understand what does max_score_broadcast = max_score.view(1, -1).expand(1, vec.size()[1]) try to do?, or which kind of math formula it corresponds to?

            ...

            ANSWER

            Answered 2020-May-18 at 05:18

            Looking at the code, it seems like vec has a shape of (1, n).
            Now we can follow the code line by line:

            Source https://stackoverflow.com/questions/61862579

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

            Vulnerabilities

            No vulnerabilities reported

            Install BiLSTM-CRF

            You can download it from GitHub.
            You can use BiLSTM-CRF 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://github.com/guocheng2018/BiLSTM-CRF.git

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            gh repo clone guocheng2018/BiLSTM-CRF

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            git@github.com:guocheng2018/BiLSTM-CRF.git

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