monologg/NER-Multimodal-pytorch
Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)
This project helps social media analysts and marketers automatically identify key entities like people, organizations, and locations within tweets. By combining the text of a tweet with its associated image, it processes these inputs to output a clearer understanding of what a tweet is about. It's designed for anyone needing to quickly extract structured information from unstructured social media posts.
No commits in the last 6 months.
Use this if you need to accurately pinpoint and categorize specific pieces of information, such as names or places, from short social media texts that often include images.
Not ideal if your primary data source is long-form text documents or if your social media data does not contain images, as it leverages visual context.
Stars
58
Forks
12
Language
Python
License
—
Category
Last pushed
Oct 03, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/monologg/NER-Multimodal-pytorch"
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