LeonardoEmili/Wikifier
Pytorch implementation of a BiLSTM model for the Wikification project.
When you have text and want to automatically link specific words or phrases within it to corresponding Wikipedia articles, this project helps. It takes raw text as input and outputs the same text with annotations, connecting key concepts to their Wikipedia entries. This is useful for researchers, data scientists, or content creators who need to enrich textual data with structured knowledge from Wikipedia.
No commits in the last 6 months.
Use this if you need to automatically identify and link concepts in your text to Wikipedia for better understanding or structured data analysis.
Not ideal if you're looking for a general-purpose natural language understanding tool beyond Wikipedia concept linking.
Stars
19
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 30, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/LeonardoEmili/Wikifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
charles9n/bert-sklearn
a sklearn wrapper for Google's BERT model
jidasheng/bi-lstm-crf
A PyTorch implementation of the BI-LSTM-CRF model.
howl-anderson/seq2annotation
基于 TensorFlow & PaddlePaddle 的通用序列标注算法库(目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和...
kamalkraj/BERT-NER
Pytorch-Named-Entity-Recognition-with-BERT
kamalkraj/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs