Abstract
We frequently encounter unfamiliar entity names (e.g., a person's name or a geographic location) while reading texts such as newspapers, magazines, and web pages. When this occurs, we typically perform a sequence of tedious actions: select the entity name, submit it to a search engine, and obtain detailed information from websites. In this paper, we present Linkify, a tool that enhances text reading by automatically converting entity names into links and displaying a widget that contains links to several relevant websites. We also propose a novel method for evaluating the helpfulness of entities to users using supervised machine learning with a set of carefully designed features. Experimental results show that our method significantly outperforms existing state-of-the-art methods.
Original language | English |
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Article number | 8255781 |
Pages (from-to) | 37-46 |
Number of pages | 10 |
Journal | IEEE Intelligent Systems |
Volume | 33 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2018 Sept 1 |
Keywords
- artificial intelligence
- computing methodologies
- hypertext/hypermedia
- information interfaces and representation (hci)
- information technology and systems
- intelligent web services and semantic web
- natural language processing
- text analysis
- web text analysis
ASJC Scopus subject areas
- Computer Networks and Communications
- Artificial Intelligence