Semantic Textual Similarity in Python
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Updated
Jan 30, 2017 - Jupyter Notebook
Semantic Textual Similarity in Python
PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
This project aims to propose and evaluate the use of a hybrid approach, in which both resources of distributed representation and also lexical and linguistic aspects are integrated for the evaluation of semantic textual similarity between short sentences in Brazilian Portuguese.
Sentence Similarity Estimator (SenSim)
Our lexical similarity measures, as employed in http://propor2016.di.fc.ul.pt/wp-content/uploads/2016/07/ASSIN_2016_paper_4.pdf
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
Natural Launguage Processing ,Text-Mining ,Natural Launguage Understanding
📖 Collection of Natural Language Processing(NLP) Projects
Semantic Textual Similarity: task which consists in evaluating the degree of semantic equivalence between pairs of sentences. Also known as paraphrase detection.
A system to process visual input on timed frames to produce sensible audio aid in accordance with human information processing limits, using image captioning, semantic text comparison and text-to-speech modules.
Neural network toolkit for sentence pair modeling.
Group Project of CSE 576 : Natural Language Processing at ASU
The Serbian Semantic Textual Similarity News Corpus
The Serbian Paraphrase Corpus
A tool for semantic textual similarity annotation
A collection of Semantic Textual Similarity (STS) models and a framework for their evaluation on STS corpora with fine-grained similarity scores
Implementation of a Siamese LSTM for Semantic Textual Similarity task.
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