Work

Fast and Accurate Entity Linking via Graph Embedding

Year: 2019

Type: conference-paper

Abstract: Entity Linking, the task of mapping ambiguous Named Entities to unique identifiers in a knowledge base, is a cornerstone of multiple Information Retrieval and Text Analysis systems. So far, no single entity linking algorithm has been able to offer the accuracy and scalability required to deal with the ever-increasing amount of data in the web and become a de-facto standard.

Source: ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES-NDA)

DOI: 10.1145/3327964.3328499

Authors: Alberto Parravicini, Rhicheek Patra, Davide B. Bartolini, Marco D. Santambrogio

Institutions: Politecnico di Milano, Oracle (United States)

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2952095478

FWCI: 1.435

Cites: 32

Cited by: 29

Related to: 10