Neural network toolkit for sentence pair modeling.
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Updated
Jan 7, 2021 - Python
Neural network toolkit for sentence pair modeling.
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
Semantic Textual Similarity in Python
Variants of Multi-Perspective Convolutional Neural Networks
Official implementation of: Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
A simple implementation of paper "HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate semantic textual similarity."
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
Sentence Similarity Estimator (SenSim)
The Serbian Semantic Textual Similarity News Corpus
A tool for semantic textual similarity annotation
Semantic Textual Similarity and Dialogue System package for Python
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.
Embedding Representation for Indonesian Sentences!
Creating a model that compares text items and decides whether they are similar in meaning.
The Serbian Paraphrase Corpus
A collection of Semantic Textual Similarity (STS) models and a framework for their evaluation on STS corpora with fine-grained similarity scores
Official Implementation of the ACL2024 Findings paper "Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation"
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