VOCTRACTOR: AI-Powered Vocabulary Design and Keyword Extraction Tool

被引：0

作者：

Chettakattu, Aradina ^{[1
]}

Havlik, Denis ^{[1
]}

机构：

[1] AIT Austrian Inst Technol GmbH, Vienna, Austria

来源：

ERCIM NEWS | 2024年 / 136期

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Building and using a common terminology is of great importance for all collaborative work. On the other hand, well implemented tagging of documents by several "orthogonal" vocabularies provides a concise representation of context and topics of a textual data, which facilitates search and retrieval, as well as automated matching of "similar" documents in knowledge management systems. Manually finding relevant keywords for documents is a daunting task, time-consuming and prone to errors. Our "Voctractor" (from "Vocabulary Extractor") application prototype [L1] addresses this challenge by streamlining both the vocabulary design and the keyword extraction workflow.

引用

页码：30 / 31

页数：2

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