Automatic Extraction of Part-whole Relations

Debela Tesfaye; Michael Zock

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Automatic Extraction of Part-whole Relations

In Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science - Volume 0ICEIS, 130-139, 2012 , Wrocław, Poland

Authors: Debela Tesfaye ¹ and Michael Zock ²

Affiliations: ¹ Addis Ababa University, Ethiopia ; ² CNRS and UMR 6166, France

Keyword(s): part-whole relation extraction, semantic analysis, unsupervised meaning extraction

Abstract: The Web has become a universal repository of knowledge allowing to share information in a scale never seen before. Yet, with the growing size of the resource have grown the difficulties to access information. In this paper we present a system that automatically extracts Part-Whole relations among nouns. The approach is unsupervised, quasi language independent and does not require a huge resource like WordNet. The results show that the patterns used to extract Part-Whole relations can be learned from N-grams.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 13.59.156.124

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Tesfaye, D. and Zock, M. (2012). Automatic Extraction of Part-whole Relations. In Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS; ISBN 978-989-8565-16-7, SciTePress, pages 130-139. DOI: 10.5220/0004113801300139

@conference{nlpcs12,
author={Debela Tesfaye. and Michael Zock.},
title={Automatic Extraction of Part-whole Relations},
booktitle={Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS},
year={2012},
pages={130-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004113801300139},
isbn={978-989-8565-16-7},
}

TY - CONF

JO - Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS
TI - Automatic Extraction of Part-whole Relations
SN - 978-989-8565-16-7
AU - Tesfaye, D.
AU - Zock, M.
PY - 2012
SP - 130
EP - 139
DO - 10.5220/0004113801300139
PB - SciTePress