iobes | Tool for parsing and converting various span

 by   blester125 Python Version: 1.5.1 License: MIT

kandi X-RAY | iobes Summary

kandi X-RAY | iobes Summary

iobes is a Python library. iobes has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install iobes' or download it from GitHub, PyPI.

Tool for parsing and converting various span encoding schemes.
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            kandi-support Support

              iobes has a low active ecosystem.
              It has 14 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of iobes is 1.5.1

            kandi-Quality Quality

              iobes has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              iobes 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

              iobes releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 1106 lines of code, 117 functions and 13 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed iobes and discovered the below as its top functions. This is intended to give you an instant insight into iobes implemented functionality, and help decide if they suit your requirements.
            • Return a list of transitions for a given span
            • Takes a list of tokens and returns a list of transitions
            • Extract the function from tag
            • Returns a list of biloulement transitions in the given tag
            • Parses a sequence of Bewo spans
            • Parse a sequence of spans
            • Parses a sequence of spans from bmeow
            • Safely get a value from xs
            • Validate tags
            • Validate tags tags
            • Validate tags in BIO format
            • Validate Bmeow tags
            • Convert IOBO tags to BMewo tags
            • Convert a sequence of tags to bmeow
            • Convert bioas to Bewo
            • Convert a sequence of iobes tags to Bewo tags
            • Convert bilouine tags to BMewo tags
            • Convert bmeewo tags to iobian
            • Convert bmeewo tags to bio tags
            • Convert bmeowo tags to iobes
            • Convert Bmeewo tags to bilouin
            • Add tags to spans
            • Convert tags to biloure
            • Convert a sequence of tags to iobes
            • Convert tags to IROB tags
            • Converts a sequence of tags to biloucules
            Get all kandi verified functions for this library.

            iobes Key Features

            No Key Features are available at this moment for iobes.

            iobes Examples and Code Snippets

            No Code Snippets are available at this moment for iobes.

            Community Discussions

            QUESTION

            AllenNLP BERT SRL input format ("OntoNotes v. 5.0 formatted")
            Asked 2021-Sep-15 at 16:27

            The goal is to train BERT SRL on another data set. According to configuration, it requires conll-formatted-ontonotes-5.0.

            Natively, my data comes in a CoNLL format and I converted it to the conll-formatted-ontonotes-5.0 format of the GitHub edition of OntoNotes v.5.0. Reading the data works and training seems to work, except that precision remains at 0. I suspect that either the encoding of SRL arguments (BOI or phrasal?) or the column structure (other OntoNotes editions in CoNLL format differ here) differ from the expected input. Alternatively, the error may arise because if the role labels are hard-wired in the code. I followed the reference data in using the long form (ARGM-TMP), but you often see the short form (AM-TMP) in other data.

            The question is which dataset and format is expected here. I guess it's one of the CoNLL/Skel formats for OntoNotes 5.0 with a restored WORD column, but

            • The CoNLL edition doesn't seem to be shipped with the LDC edition of OntoNotes

            • It does not seem to be the format of the "conll-formatted-ontonotes-5.0" edition of OntoNotes v.5.0 on GitHub provided by the OntoNotes creators.

            • There is at least one other CoNLL/Skel edition of OntoNotes 5.0 data as part of PropBank. This differs from the other one in leaving out 3 columns and in the encoding of predicates. (For parts of my data, this is the native format.)

            • The SrlReader documentation mentions BIO (IOBES) encoding. This has been used in other CoNLL editions of PropBank data, indeed, but not in the above-mentioned OntoNotes corpora. Other such formats are the CoNLL-2008 and CoNLL-2009 formats, for example, and different variants.

            Before I start reverse-engineering the SrlReader, does anyone have a data snippet at hand so that I can prepare my data accordingly?

            conll-formatted-ontonotes-5.0 version of my data (sample from EWT corpus):

            ...

            ANSWER

            Answered 2021-Sep-15 at 16:27

            The "native" format is the one under of the CoNLL-2012 edition, see cemantix.org/conll/2012/data.html how to create it.

            The Ontonotes class that reads it may, however, encounter difficulties when parsing "native" CoNLL-2012 data, because the CoNLL-2012 preprocessing scripts can lead to invalid parse trees. Parsing with NLTK will naturally lead to a ValueError such as

            Source https://stackoverflow.com/questions/69178847

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

            Vulnerabilities

            No vulnerabilities reported

            Install iobes

            You can install using 'pip install iobes' or download it from GitHub, PyPI.
            You can use iobes 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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            Install
          • PyPI

            pip install iobes

          • CLONE
          • HTTPS

            https://github.com/blester125/iobes.git

          • CLI

            gh repo clone blester125/iobes

          • sshUrl

            git@github.com:blester125/iobes.git

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