zake7749/Fill-the-GAP
[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle
This project helps identify whether a gendered pronoun (like 'he', 'she', 'him', 'her') in a sentence refers to 'name A' or 'name B'. You provide sentences with ambiguous pronouns and two potential names, and it determines the most likely antecedent for the pronoun. This is useful for anyone working with natural language processing tasks that require accurate pronoun resolution, such as content analysis or information extraction.
No commits in the last 6 months.
Use this if you need to precisely resolve ambiguous gendered pronouns in text, especially in scenarios where context is crucial for accurate understanding.
Not ideal if your task involves resolving non-gendered pronouns, or if you only need a general idea of pronoun reference rather than highly accurate, specific attribution.
Stars
12
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 18, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/zake7749/Fill-the-GAP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mandarjoshi90/coref
BERT for Coreference Resolution
davidberenstein1957/crosslingual-coreference
A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.
lxucs/coref-hoi
PyTorch implementation of the end-to-end coreference resolution model with different...
tugas-akhir-nlp/indonesian-coreference-resolution-cnn
Coreference resolution system for Indonesian text
huggingface/neuralcoref-viz
✨ Web interface for NeuralCoref coreference resolution