kargaranamir/Hengam
Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging (AACL'22)
This tool helps you automatically identify and extract all temporal information, such as specific times and dates, from Persian text. You provide sentences or documents in Persian, and it outputs each identified temporal phrase along with its specific type (time or date). This is useful for anyone working with Persian language data, such as researchers, linguists, or data analysts, who need to process and categorize temporal expressions.
No commits in the last 6 months.
Use this if you need to reliably extract and categorize temporal expressions (times and dates) from Persian text for tasks like information extraction, event scheduling, or data organization.
Not ideal if your primary need is for a general-purpose named entity recognition (NER) system that covers a wide range of entity types beyond just temporal expressions.
Stars
11
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/kargaranamir/Hengam"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
fidelity/textwiser
[AAAI 2021] TextWiser: Text Featurization Library
RandolphVI/Multi-Label-Text-Classification
About Muti-Label Text Classification Based on Neural Network.
ThilinaRajapakse/pytorch-transformers-classification
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for...
ntumlgroup/LibMultiLabel
A library for multi-class and multi-label classification
xuyige/BERT4doc-Classification
Code and source for paper ``How to Fine-Tune BERT for Text Classification?``