Bootstrapping a Semantic Lexicon on Verb Similarities

Shaheen Syed; Marco Spruit; Melania Borit

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

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

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

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

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

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

Name:
Country:
Subject:

Advanced Search Affiliations Search

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

Proceedings

Proceedings Search

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

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

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

Bootstrapping a Semantic Lexicon on Verb Similarities

Topics: Mining Text and Semi-Structured Data; Pre-Processing and Post-Processing for Data Mining

In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, 189-196, 2016 , Porto, Portugal

Authors: Shaheen Syed ¹ ; Marco Spruit ¹ and Melania Borit ²

Affiliations: ¹ Utrecht University, Netherlands ; ² University of Tromsø, Norway

ISBN: 978-989-758-203-5

Keyword(s): Semantic Lexicon, Bootstrapping, Extraction Patterns, Web Mining.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Pre-Processing and Post-Processing for Data Mining ; Symbolic Systems

Abstract: We present a bootstrapping algorithm to create a semantic lexicon from a list of seed words and a corpus that was mined from the web. We exploit extraction patterns to bootstrap the lexicon and use collocation statistics to dynamically score new lexicon entries. Extraction patterns are subsequently scored by calculating the conditional probability in relation to a non-related text corpus. We find that verbs that are highly domain related achieved the highest accuracy and collocation statistics affect the accuracy positively and negatively during the bootstrapping runs.

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 3.238.7.202

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:

Syed, S.; Spruit, M. and Borit, M. (2016). Bootstrapping a Semantic Lexicon on Verb Similarities.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 189-196. DOI: 10.5220/0006036901890196

@conference{kdir16,
author={Shaheen Syed. and Marco Spruit. and Melania Borit.},
title={Bootstrapping a Semantic Lexicon on Verb Similarities},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={189-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006036901890196},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Bootstrapping a Semantic Lexicon on Verb Similarities
SN - 978-989-758-203-5
AU - Syed, S.
AU - Spruit, M.
AU - Borit, M.
PY - 2016
SP - 189
EP - 196
DO - 10.5220/0006036901890196