使用BERT进行最少的关键字提取
keyphrase-extraction 开源项目推荐(88 个)
keyphrase-extraction 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 88 个仓库Python Keyphrase Extraction module
An off-the-shelf tool for Chinese Keyphrase Extraction 一个快速从中文里抽取关键短语的工具,仅占35M内存 www.jionlp.com
Keybody or Keyword Extraction 基于预训练模型的中文关键词抽取方法(论文SIFRank: 基于预训练语言模型的中文版代码的无监督关键词提取新基线)
Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.
An overview of the AI-as-a-service landscape
Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.
The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"
无监督中文关键词抽取(Keyphrase Extraction),基于统计,基于图【LDA与PageRank(TextRank, TPR, Salience Rank, Single TPR等)】,基于嵌入【SIFRank等】,开箱即用!
Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10
KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents
A keyphrase extractor for Persian
RaKUn 2.0 - A fast keyword detection algorithm
semantically distinct key phrase extraction using hilbert hashes.
seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
Data for EACL 2023 paper "A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models".
A Streamlit app to extract keywords using KeyBert
This repository is to collect keyphrase prediction resource.
A deep learning library for identifying keyphrases from text
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/keyphrase-extraction。
- 该话题在 GitHub 上共有 88 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 8305 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。