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brew

使用 Homebrew, MacPorts 安装 stanford-ner

查看 stanford-ner 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install stanford-ner

local Homebrew formula metadata

MacPorts已验证 · 94%
sudo port install stanford-ner

MacPorts ports tree · textproc/stanford-ner/Portfile · 来源: api.github.com

概览

软件包摘要

Stanford NLP Group's implementation of a Named Entity Recognizer

命令和别名

  • ner-gui.sh
  • ner.sh

历史

项目历史与用法

Stanford NER is the Stanford NLP Group's Java implementation of a named entity recognizer and CRF sequence-modeling tool. It is distributed both as a standalone Stanford NLP tool and as part of CoreNLP.

项目历史

The official documentation describes Stanford NER as a Java implementation of named entity recognition and notes that it is also known as CRFClassifier. The page credits the original CRF code to Jenny Finkel, feature extractors to Dan Klein, Christopher Manning, and Jenny Finkel, and cites the 2005 ACL paper by Jenny Rose Finkel, Trond Grenager, and Christopher Manning.

采用历史

Stanford NER became package-manager relevant because it offered trained English models, a Java API, command-line scripts, and server usage from a single download. The official page lists wrappers or integrations for .NET, Perl, PHP, Python, Ruby, and UIMA, showing how the Java tool was embedded in other language ecosystems.

使用方式

Command-line usage loads Stanford NER jars and classifier models, then runs Java classes such as `edu.stanford.nlp.ie.NERClassifierCombiner` against text files. The package also includes a GUI, batch files or shell scripts, server support, and Java demo code.

为什么软件包爱好者会关心

Package maintainers care about Stanford NER because it packages a classic NLP model workflow: Java bytecode, large serialized classifiers, shell scripts, and model selection. A good package hides classpath friction and makes older research software usable from modern CLI workflows.

时间线

  • 2005: Finkel, Grenager, and Manning publish the cited ACL paper for the model and software.
  • 2011: Stanford NLP documentation advises using matching releases of the Java NLP tools from 2011 onward.
  • 2020: CoreNLP docs continue to document Stanford NER as an additional tool and CoreNLP annotator.

Related projects

  • Stanford NER is part of the broader Stanford JavaNLP/CoreNLP family and relates to CRFClassifier, Stanford POS Tagger, Stanford Parser, model jars, and language wrappers such as NLTK's Stanford NER interface.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 1 个平台目标。
  • 安装时包含 1 个运行时依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
ner-gui.shcli全局可执行文件
ner.shcli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-25
管理器版本4.2.0
管理器更新时间2026-06-22
本地数据OK
上游not checked
检测到的最新版本未检测到

https://nlp.stanford.edu/software/CRF-NER.shtml

安装元数据

软件包元数据

软件包键brew:stanford-ner
版本4.2.0
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/stanford-ner
主页https://nlp.stanford.edu/software/CRF-NER.shtml
仓库https://github.com/stanfordnlp/CoreNLP
上游文档https://nlp.stanford.edu/software/CRF-NER.shtml
许可证GPL-2.0-or-later
源码归档https://nlp.stanford.edu/software/stanford-ner-4.2.0.zip
最后更新2026-06-22T14:06:23-07:00
Pulseupdated
依赖openjdk
Bottle可用 (于 all)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namestanford-ner
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

MacPorts95%

stanford-ner

sudo port install stanford-ner
  • normalized package name match
  • 匹配方式:Stanford Ner
MacPorts ports tree · api.github.com · MacPorts ports tree: textproc/stanford-ner/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment