sahitya0000/Relation-Classification
Relation Classification - SEMEVAL 2010 task 8 dataset
This project helps natural language processing researchers or data scientists identify semantic relationships between pairs of entities mentioned in text. You feed it sentences where specific entities are marked, and it outputs the predefined type of relationship between them, like "Entity-Destination." This is useful for anyone working on extracting structured information from unstructured text.
No commits in the last 6 months.
Use this if you need to automatically categorize the specific semantic relationship between two identified items in a sentence.
Not ideal if you are looking for a ready-to-use API or a tool that performs relation extraction without needing specific preprocessing or programming knowledge.
Stars
59
Forks
14
Language
Jupyter Notebook
License
MIT
Last pushed
Apr 30, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/sahitya0000/Relation-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gaussic/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
ShawnyXiao/TextClassification-Keras
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN,...
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
TobiasLee/Text-Classification
Implementation of papers for text classification task on DBpedia
FreedomIntelligence/TextClassificationBenchmark
A Benchmark of Text Classification in PyTorch