基于知识图谱的问答系统,BERT做命名实体识别和句子相似度,分为online和outline模式
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Updated
Dec 16, 2021 - Python
基于知识图谱的问答系统,BERT做命名实体识别和句子相似度,分为online和outline模式
基于自然语言理解与机器学习的聊天机器人,支持多用户并发及自定义多轮对话
基于Pytorch和torchtext的自然语言处理深度学习框架。
xmnlp:提供中文分词, 词性标注, 命名体识别,情感分析,文本纠错,文本转拼音,文本摘要,偏旁部首,句子表征及文本相似度计算等功能
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
all kinds of baseline models for sentence similarity 句子对语义相似度模型
问题句子相似度计算,即给定客服里用户描述的两句话,用算法来判断是否表示了相同的语义。
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Compute Sentence Embeddings Fast!
Tensorflow implementations of various Deep Semantic Matching Models (DSMM).
A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence sim…
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
对四种句子/文本相似度计算方法进行实验与比较
an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
中文问题句子相似度计算比赛及方案汇总
Document Similarity using Word2Vec
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