Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
원문 초록
In this paper, we propose Vocab-Expander at https://vocab-expander.com, an online tool that enables end-users (e.g., technology scouts) to create and expand a vocabulary of their domain of interest. It utilizes an ensemble of state-of-the-art word embedding techniques based on web text and ConceptNet, a common-sense knowledge base, to suggest related terms for already given terms. The system has an easy-to-use interface that allows users to quickly confirm or reject term suggestions. Vocab-Expander offers a variety of potential use cases, such as improving concept-based information retrieval in technology and innovation management, enhancing communication and collaboration within organizations or interdisciplinary projects, and creating vocabularies for specific courses in education.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
JointRank: Rank Large Set with Single Pass
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management
From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
Temporal Information Retrieval via Time-Specifier Model Merging
An analysis of vision-language models for fabric retrieval
토론
이 논문과 연결된 포럼 글이 아직 없습니다.