The Library
Combining information extraction and human computing for crowdsourced knowledge acquisition
Tools
Kondreddi, S .K., Triantafillou, Peter and Weikum, G. (2014) Combining information extraction and human computing for crowdsourced knowledge acquisition. In: 2014 IEEE 30th International Conference on Data Engineering, Chicago, IL, USA, 31 Mar -14 Apr 2014. Published in: 2014 IEEE 30th International Conference on Data Engineering (ICDE) pp. 988-999. ISBN 9781479925568. doi:10.1109/ICDE.2014.6816717 ISSN 1063-6382.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://doi.org/10.1109/ICDE.2014.6816717
Abstract
Automatic information extraction (IE) enables the construction of very large knowledge bases (KBs), with relational facts on millions of entities from text corpora and Web sources. However, such KBs contain errors and they are far from being complete. This motivates the need for exploiting human intelligence and knowledge using crowd-based human computing (HC) for assessing the validity of facts and for gathering additional knowledge. This paper presents a novel system architecture, called Higgins, which shows how to effectively integrate an IE engine and a HC engine. Higgins generates game questions where players choose or fill in missing relations for subject-relation-object triples. For generating multiple-choice answer candidates, we have constructed a large dictionary of entity names and relational phrases, and have developed specifically designed statistical language models for phrase relatedness. To this end, we combine semantic resources like WordNet, ConceptNet, and others with statistics derived from a largeWeb corpus. We demonstrate the effectiveness of Higgins for knowledge acquisition by crowdsourced gathering of relationships between characters in narrative descriptions of movies and books. © 2014 IEEE.
Item Type: | Conference Item (Paper) | ||||
---|---|---|---|---|---|
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | 2014 IEEE 30th International Conference on Data Engineering (ICDE) | ||||
Publisher: | IEEE | ||||
ISBN: | 9781479925568 | ||||
ISSN: | 1063-6382 | ||||
Official Date: | 2014 | ||||
Dates: |
|
||||
Page Range: | pp. 988-999 | ||||
DOI: | 10.1109/ICDE.2014.6816717 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Reuse Statement (publisher, data, author rights): | cited By 19 | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Embodied As: | 1 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 2014 IEEE 30th International Conference on Data Engineering | ||||
Type of Event: | Conference | ||||
Location of Event: | Chicago, IL, USA | ||||
Date(s) of Event: | 31 Mar -14 Apr 2014 | ||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |