Joint entity and relation linking using EARL

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Joint entity and relation linking using EARL. / Banerjee, Debayan; Dubey, Mohnish; Chaudhuri, Debanjan et al.
ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks,  co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th to 12th, 2018 . ed. / Marieke van Erp; Medha Atre; Vanessa Lopez; Kavitha Srinivas; Carolina Fortuna. Aachen: Sun Site Central Europe (RWTH Aachen University), 2018. (CEUR Workshop Proceedings; Vol. 2180).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Banerjee, D, Dubey, M, Chaudhuri, D & Lehmann, J 2018, Joint entity and relation linking using EARL. in M van Erp, M Atre, V Lopez, K Srinivas & C Fortuna (eds), ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks,  co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th to 12th, 2018 . CEUR Workshop Proceedings, vol. 2180, Sun Site Central Europe (RWTH Aachen University), Aachen, 17th International Semantic Web Conference - ISWC 2018, Monterey, California, United States, 08.10.18. <https://nbn-resolving.org/urn:nbn:de:0074-2180-3>

APA

Banerjee, D., Dubey, M., Chaudhuri, D., & Lehmann, J. (2018). Joint entity and relation linking using EARL. In M. van Erp, M. Atre, V. Lopez, K. Srinivas, & C. Fortuna (Eds.), ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks,  co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th to 12th, 2018 (CEUR Workshop Proceedings; Vol. 2180). Sun Site Central Europe (RWTH Aachen University). https://nbn-resolving.org/urn:nbn:de:0074-2180-3

Vancouver

Banerjee D, Dubey M, Chaudhuri D, Lehmann J. Joint entity and relation linking using EARL. In van Erp M, Atre M, Lopez V, Srinivas K, Fortuna C, editors, ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks,  co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th to 12th, 2018 . Aachen: Sun Site Central Europe (RWTH Aachen University). 2018. (CEUR Workshop Proceedings).

Bibtex

@inbook{5c20e015e071422ca997add3b3fc9dfc,
title = "Joint entity and relation linking using EARL",
abstract = "In order to answer natural language questions over knowledge graphs, most processing pipelines involve entity and relation linking. Traditionally, entity linking and relation linking have been performed either as dependent sequential tasks or independent parallel tasks. In this demo paper, we present EARL, which performs entity linking and relation linking as a joint single task. The system determines the best semantic connection between all keywords of the question by referring to the knowledge graph. This is achieved by exploiting the connection density between entity candidates and relation candidates. EARL uses Bloom filters for faster retrieval of connection density and uses an extended label vocabulary for higher recall to improve the overall accuracy.",
keywords = "Entity Linking, Question Answering, Relation Linking, Informatics",
author = "Debayan Banerjee and Mohnish Dubey and Debanjan Chaudhuri and Jens Lehmann",
note = "Publisher Copyright: {\textcopyright} 2018 CEUR-WS. All rights reserved.; 17th International Semantic Web Conference - ISWC 2018, ISWC 2018 ; Conference date: 08-10-2018 Through 12-10-2018",
year = "2018",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "Sun Site Central Europe (RWTH Aachen University)",
editor = "{van Erp}, Marieke and Medha Atre and Vanessa Lopez and Kavitha Srinivas and Carolina Fortuna",
booktitle = "ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks",
address = "Germany",
url = "http://iswc2018.semanticweb.org/",

}

RIS

TY - CHAP

T1 - Joint entity and relation linking using EARL

AU - Banerjee, Debayan

AU - Dubey, Mohnish

AU - Chaudhuri, Debanjan

AU - Lehmann, Jens

N1 - Conference code: 17

PY - 2018

Y1 - 2018

N2 - In order to answer natural language questions over knowledge graphs, most processing pipelines involve entity and relation linking. Traditionally, entity linking and relation linking have been performed either as dependent sequential tasks or independent parallel tasks. In this demo paper, we present EARL, which performs entity linking and relation linking as a joint single task. The system determines the best semantic connection between all keywords of the question by referring to the knowledge graph. This is achieved by exploiting the connection density between entity candidates and relation candidates. EARL uses Bloom filters for faster retrieval of connection density and uses an extended label vocabulary for higher recall to improve the overall accuracy.

AB - In order to answer natural language questions over knowledge graphs, most processing pipelines involve entity and relation linking. Traditionally, entity linking and relation linking have been performed either as dependent sequential tasks or independent parallel tasks. In this demo paper, we present EARL, which performs entity linking and relation linking as a joint single task. The system determines the best semantic connection between all keywords of the question by referring to the knowledge graph. This is achieved by exploiting the connection density between entity candidates and relation candidates. EARL uses Bloom filters for faster retrieval of connection density and uses an extended label vocabulary for higher recall to improve the overall accuracy.

KW - Entity Linking

KW - Question Answering

KW - Relation Linking

KW - Informatics

UR - http://www.scopus.com/inward/record.url?scp=85055354595&partnerID=8YFLogxK

M3 - Article in conference proceedings

AN - SCOPUS:85055354595

T3 - CEUR Workshop Proceedings

BT - ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks

A2 - van Erp, Marieke

A2 - Atre, Medha

A2 - Lopez, Vanessa

A2 - Srinivas, Kavitha

A2 - Fortuna, Carolina

PB - Sun Site Central Europe (RWTH Aachen University)

CY - Aachen

T2 - 17th International Semantic Web Conference - ISWC 2018

Y2 - 8 October 2018 through 12 October 2018

ER -