Publication:

Aligning Knowledge Base and Document Embedding Models using Regularized Multi-Task Learning

Date

Date

Date
2018
Conference or Workshop Item
Published version

Citations

Citation copied

Baumgartner, M., Zhang, W., Paudel, B., Dell’Aglio, D., Chen, H., & Bernstein, A. (2018). Aligning Knowledge Base and Document Embedding Models using Regularized Multi-Task Learning (No. 11136). 11136, 21–37. https://doi.org/10.1007/978-3-030-00671-6_2

Abstract

Abstract

Abstract

Knowledge Bases (KBs) and textual documents contain rich and complementary information about real-world objects, as well as relations among them. While text documents describe entities in freeform, KBs organizes such information in a structured way. This makes these two information representation forms hard to compare and integrate, limiting the possibility to use them jointly to improve predictive and analytical tasks. In this article, we study this problem, and we propose KADE, a solution based on a regularized multi-task learning o

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246 since deposited on 2018-10-04
Acq. date: 2025-11-13

Views

291 since deposited on 2018-10-04
Acq. date: 2025-11-13

Additional indexing

Creators (Authors)

Event Title

Event Title

Event Title
The Semantic Web – ISWC 2018

Event Location

Event Location

Event Location
Monterey

Event Country

Event Country

Event Country
CA, USA

Event Start Date

Event Start Date

Event Start Date
2018-10-08

Event End Date

Event End Date

Event End Date
2018-10-12

Publisher

Publisher

Publisher

Page range/Item number

Page range/Item number

Page range/Item number
21

Page end

Page end

Page end
37

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Date available

Date available

Date available
2018-10-04

Number

Number

Number
11136

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
978-3-030-00670-9

Additional Information

Additional Information

Additional Information
ISBN: 978-3-030-00671-6 (E)

OA Status

OA Status

OA Status
Green

Free Access at

Free Access at

Free Access at
Unspecified

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:16389

Related URLs

Related URLs

Related URLs

Metrics

Downloads

246 since deposited on 2018-10-04
Acq. date: 2025-11-13

Views

291 since deposited on 2018-10-04
Acq. date: 2025-11-13

Citations

Citation copied

Baumgartner, M., Zhang, W., Paudel, B., Dell’Aglio, D., Chen, H., & Bernstein, A. (2018). Aligning Knowledge Base and Document Embedding Models using Regularized Multi-Task Learning (No. 11136). 11136, 21–37. https://doi.org/10.1007/978-3-030-00671-6_2

Green Open Access
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Files
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