semantic-similarity

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

all kinds of baseline models for sentence similarity 句子对语义相似度模型

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

😎 A curated list of awesome practical Metric Learning and its applications

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.

😷 Disease Ontology Semantic and Enrichment analysis

[ACM-CIKM] 2nd place solution at CIKM AnalytiCup 2018, a task for determining short text similarities.

STriP Net: Semantic Similarity of Scientific Papers (S3P) Network

GermaNet API for Python

Keras and Tensorflow implementation of Siamese Recurrent Architectures for Learning Sentence Similarity

Phenotype comparison tools using semantic similarity.

The enhanced RCNN model used for sentence similarity classification

⛳ GO-terms Semantic Similarity Measures

A python client for connecting to all the services provided by https://dandelion.eu

Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

NetworkX-based Python library for representing ontologies

Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings

A simple implementation of paper "HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate semantic textual similarity."

📚 Biomedical knowledge mining using GOSemSim and clusterProfiler

CHIP 2019平安医疗科技疾病问答迁移学习比赛baseline，rank7

Deep Character CNN LSTM Encoder with Classification and Similarity Models

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.

A Tensorflow BiLSTM-MaxPool Siamese Network for Quora question pairs.

Data Sets and Models for Evaluation of Lexical Semantic Change Detection

Short Text Similarity as described in https://dl.acm.org/citation.cfm?id=2806475