microsoft
/
reconner
зеркало из https://github.com/microsoft/reconner.git
1
0
Форкнуть 0
Код Задачи Пакеты Проекты Релизы Вики Активность
ReconNER, Debug annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality of your data.
62 коммитов 4 Ветки 14 Теги 2,9 MiB
Python 98.1%
Shell 1.8%
Перейти к файлу
Kabir Khan fb73c8e7f9 Adding docs and fixing tokenization add_tokens to use token_end as t.i + 1 for consistency with spaCy. 2020-04-22 11:03:11 -07:00
docs Adding docs and fixing tokenization add_tokens to use token_end as t.i + 1 for consistency with spaCy. 2020-04-22 11:03:11 -07:00
examples Adding docs and fixing tokenization add_tokens to use token_end as t.i + 1 for consistency with spaCy. 2020-04-22 11:03:11 -07:00
recon Adding docs and fixing tokenization add_tokens to use token_end as t.i + 1 for consistency with spaCy. 2020-04-22 11:03:11 -07:00
scripts Fixing imports 2020-03-20 15:15:32 -07:00
tests Fix preprocessing and tests 2020-04-20 18:41:33 -07:00
.coveragerc Increasing test coverage. Fixing bugs and inconsistencies 2020-03-20 14:49:55 -07:00
.env Initial Commit to Microsoft Repo 2020-02-20 11:55:50 -08:00
.gitignore Adding caching to preprocessing and adding docs 2020-04-19 14:21:29 -07:00
CODE_OF_CONDUCT.md Initial CODE_OF_CONDUCT.md commit 2020-02-20 11:52:12 -08:00
LICENSE Initial LICENSE commit 2020-02-20 11:52:13 -08:00
README.md Initial commits for data lineage system 2020-04-07 18:19:04 -07:00
SECURITY.md Initial SECURITY.md commit 2020-02-20 11:52:14 -08:00
azure-pipelines.yml Rename module to recon from reconner. Fix types. 2020-02-27 15:22:14 -08:00
mkdocs.yml Adding docs and fixing tokenization add_tokens to use token_end as t.i + 1 for consistency with spaCy. 2020-04-22 11:03:11 -07:00
mypy.ini Initial Commit to Microsoft Repo 2020-02-20 11:55:50 -08:00
pyproject.toml remove unused prodigy entrypoint 2020-04-14 12:00:52 -07:00
streamlit_recon.py skip these dumb files in isort 2020-03-20 17:42:48 -07:00

README.md

Recon

Recon NER, Debug annotated Named Entity Recognition (NER) data for inconsitencies and get insights on improving the quality of your data.

Build Status Coverage Package version

Documentation: https://microsoft.github.io/reconner

Source Code: https://github.com/microsoft/reconner

ReconNER is a library to help you fix your annotated NER data and identify examples that are hardest for your model to predict so you can strategically prioritize the examples you annotate.

The key features are:

  • Data Validation and Cleanup: Easily Validate the format of your NER data. Filter overlapping Entity Annotations, fix missing properties.
  • Model Insights: Analyze how well your model does on your Dataset. Identify the top errors your model is making so you can prioritize data collection and correction strategically.
  • Model Insights: Analyze how well your model does on your Dataset. Identify the top errors your model is making so you can prioritize data collection and correction strategically.
  • Dataset Management: ReconNER provides a Dataset class to manage the train/dev/test split of your data and apply the same functions across all splits in your data + a concatenation of all examples. Operate inplace to consistently transform your data.
  • Serializable Dataset: Serialize and Deserialize your data to and from JSON to the ReconNER type system.
  • Type Hints: Comprehensive Typing system based on Python 3.6+ Type Hints

Requirements

Python 3.6+

ReconNER is built on a few comprehensive, high-performing packages.

Installation

$ pip install reconner
---> 100%
Successfully installed reconner

License

This project is licensed under the terms of the MIT license.