Task2KB: A Public Task-Oriented Knowledge Base
원문 초록
Search engines and conversational assistants are commonly used to help users complete their every day tasks such as booking travel, cooking, etc. While there are some existing datasets that can be used for this purpose, their coverage is limited to very few domains. In this paper, we propose a novel knowledge base, 'Task2KB', which is constructed using data crawled from WikiHow, an online knowledge resource offering instructional articles on a wide range of tasks. Task2KB encapsulates various types of task-related information and attributes, such as requirements, detailed step description, and available methods to complete tasks. Due to its higher coverage compared to existing related knowledge graphs, Task2KB can be highly useful in the development of general purpose task completion assistants
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
A Temporal FRBR/FRBRoo-Based Model for Component-Level Versioning of Legal Norms
Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs
News Popularity Beyond the Click-Through-Rate for Personalized Recommendations
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors
Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
토론
이 논문과 연결된 포럼 글이 아직 없습니다.