English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Discovering Relations Using Matrix Factorization Methods

Cergani, E., & Miettinen, P. (2013). Discovering Relations Using Matrix Factorization Methods. In W. Nejdl, J. Pei, & R. Rastogi (Eds.), CIKM’13 (pp. 1549-1552). New York, NY: ACM. doi:10.1145/2505515.2507841.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-19DB-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-B854-3
Genre: Conference Paper

Files

show Files
hide Files
:
p1549-cergani-2.pdf (Any fulltext), 470KB
 
File Permalink:
-
Name:
p1549-cergani-2.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Cergani, Ervina1, Author           
Miettinen, Pauli1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

Content

show
hide
Free keywords: -
 Abstract: Traditional relation extraction methods work on manually defined relations and typically expect manually labelled extraction patterns for each relation. This strongly limits the scalability of these systems. In Open Relation Extraction (ORE), the relations are identified automatically based on co-occurrences of ``surface relations'' (contexts) and entity pairs. The recently-proposed methods for ORE use partition clustering to find the relations. In this work we propose the use of matrix factorization methods instead of clustering. Specifically, we study Non-Negative Matrix Factorization (NMF) and Boolean Matrix Factorization (BMF). These methods overcome many problems inherent in clustering and perform better than the k-means clustering in our evaluation.

Details

show
hide
Language(s): eng - English
 Dates: 2013-10-272013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: Local-ID: B85EF949714E8A6EC1257C6A00608792-cergani13discovering
DOI: 10.1145/2505515.2507841
BibTex Citekey: cergani13discovering
 Degree: -

Event

show
hide
Title: 22nd ACM International Conference on Information & Knowledge Management
Place of Event: San Francisco, CA, USA
Start-/End Date: 2013-10-27 - 2013-11-01

Legal Case

show

Project information

show

Source 1

show
hide
Title: CIKM’13
  Abbreviation : CIKM 2013
  Subtitle : Proceedings of the 22nd ACM International Conference on Information & Knowledge Management
Source Genre: Proceedings
 Creator(s):
Nejdl, Wolfgang1, Editor
Pei, Jian1, Editor
Rastogi, Rajeev1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1549 - 1552 Identifier: ISBN: 978-1-4503-2263-8