lyutyuh/ASP
PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf
This project helps researchers and practitioners analyze text by identifying specific entities like people and organizations, extracting relationships between them, and resolving pronoun references. You provide raw text documents, and it outputs structured data showing recognized entities and their connections. This is ideal for NLP researchers, data scientists, or anyone needing to transform unstructured text into actionable, organized information.
107 stars. No commits in the last 6 months.
Use this if you need to perform advanced natural language understanding tasks like named entity recognition, relation extraction, or coreference resolution on textual data.
Not ideal if you are looking for a simple, out-of-the-box application for text analysis without any programming or data preparation.
Stars
107
Forks
13
Language
Python
License
MIT
Category
Last pushed
Jan 22, 2024
Commits (30d)
0
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