Interactive Knowledge Base Population

05/31/2015
by   Travis Wolfe, et al.
0

Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm where the focus is on a high-recall extraction over a small collection of documents under the supervision of a human expert, that we call Interactive Knowledge Base Population (IKBP).

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/04/2020

FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph

While most of the knowledge bases already support the English language, ...
research
11/19/2015

Knowledge Base Population using Semantic Label Propagation

A crucial aspect of a knowledge base population system that extracts new...
research
05/09/2012

Measuring Inconsistency in Probabilistic Knowledge Bases

This paper develops an inconsistency measure on conditional probabilisti...
research
11/03/2015

Visualising interactive inferences with IDPD3

A large part of the use of knowledge base systems is the interpretation ...
research
04/19/2017

Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages

Extracting geographical tags from webpages is a well-motivated applicati...
research
10/15/2019

On Constructing a Knowledge Base of Chinese Criminal Cases

We are developing a knowledge base over Chinese judicial decision docume...
research
08/01/2017

A Lightweight Front-end Tool for Interactive Entity Population

Entity population, a task of collecting entities that belong to a partic...

Please sign up or login with your details

Forgot password? Click here to reset