research-article

AIDA-Social: Entity Linking on the Social Stream

Authors:

Mohamed Amir Yosef, and

Gerhard WeikumAuthors Info & Claims

ESAIR '14: Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval

November 2014

Pages 17 - 19

https://doi.org/10.1145/2663712.2666185

Published: 07 November 2014 Publication History

Abstract

Named Entity Linking (NEL) in microblogs is a challenging task due to the use of cryptic abbreviations, insufficient contextual information, and the time-varying importance of entities. We propose three techniques to target these challenges: Mention Normalization, Contextual Enrichment, and Temporal Entity Importance. By combining these novel techniques, we achieve 13% improvement in precision over a state-of-the-art NEL tool.

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Cited By

Hosseini HMansouri MBagheri E(2022)A systemic functional linguistics approach to implicit entity recognition in tweetsInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10295759:4Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.ipm.2022.102957
Hosseini HBagheri E(2021)Learning to rank implicit entities on TwitterInformation Processing & Management10.1016/j.ipm.2021.10250358:3(102503)Online publication date: May-2021
https://doi.org/10.1016/j.ipm.2021.102503
Senthil Kumar NDinakaran M(2020)An algorithmic approach to rank the disambiguous entities in Twitter streams for effective semantic search operationsSādhanā10.1007/s12046-019-1247-145:1Online publication date: 24-Jan-2020
https://doi.org/10.1007/s12046-019-1247-1
Show More Cited By

Index Terms

AIDA-Social: Entity Linking on the Social Stream
1. Information systems

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Published In

cover image ACM Conferences

ESAIR '14: Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval

November 2014

52 pages

ISBN:9781450313650

DOI:10.1145/2663712

General Chairs:
Omar Alonso
Microsoft, Mountain View CA, USA
,
Jaap Kamps
University of Amsterdam, The Netherlands
,
Jussi Karlgren
Gavagai Stockholm, Sweden

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 November 2014

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CIKM '14

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CIKM '14: 2014 ACM Conference on Information and Knowledge Management

November 7, 2014

Shanghai, China

Acceptance Rates

ESAIR '14 Paper Acceptance Rate 11 of 15 submissions, 73%;

Overall Acceptance Rate 35 of 55 submissions, 64%

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Cited By

Hosseini HMansouri MBagheri E(2022)A systemic functional linguistics approach to implicit entity recognition in tweetsInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10295759:4Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.ipm.2022.102957
Hosseini HBagheri E(2021)Learning to rank implicit entities on TwitterInformation Processing & Management10.1016/j.ipm.2021.10250358:3(102503)Online publication date: May-2021
https://doi.org/10.1016/j.ipm.2021.102503
Senthil Kumar NDinakaran M(2020)An algorithmic approach to rank the disambiguous entities in Twitter streams for effective semantic search operationsSādhanā10.1007/s12046-019-1247-145:1Online publication date: 24-Jan-2020
https://doi.org/10.1007/s12046-019-1247-1
Hosseini HNguyen TWu JBagheri EBasile VCaselli TRadicioni D(2019)Implicit entity linking in tweetsApplied Ontology10.3233/AO-19021514:4(451-477)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.3233/AO-190215
Hosseini HNguyen TBagheri E(2018)Implicit Entity Linking Through Ad-Hoc Retrieval2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM.2018.8508612(326-329)Online publication date: Aug-2018
https://doi.org/10.1109/ASONAM.2018.8508612
Singh KBoth ASethupat AShekarpour S(2018)Frankenstein: A Platform Enabling Reuse of Question Answering ComponentsThe Semantic Web10.1007/978-3-319-93417-4_40(624-638)Online publication date: 3-Jun-2018
https://doi.org/10.1007/978-3-319-93417-4_40
Singh KBoth ADiefenbach DShekarpour S(2016)Towards a Message-Driven Vocabulary for Promoting the Interoperability of Question Answering Systems2016 IEEE Tenth International Conference on Semantic Computing (ICSC)10.1109/ICSC.2016.59(386-389)Online publication date: Feb-2016
https://doi.org/10.1109/ICSC.2016.59
Both ADiefenbach DSingh KShekarpour SCherix DLange C(2016)Qanary --- A Methodology for Vocabulary-Driven Open Question Answering SystemsProceedings of the 13th International Conference on The Semantic Web. Latest Advances and New Domains - Volume 967810.1007/978-3-319-34129-3_38(625-641)Online publication date: 29-May-2016
https://dl.acm.org/doi/10.1007/978-3-319-34129-3_38
Alonso OKamps JKarlgren J(2015)Report on the Seventh Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'14)ACM SIGIR Forum10.1145/2795403.279541249:1(27-34)Online publication date: 23-Jun-2015
https://dl.acm.org/doi/10.1145/2795403.2795412
Alonso OKamps JKarlgren JLi JWang XGarofalakis MSoboroff ISuel TWang M(2014)Seventh Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'14)Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2663539(2094-2095)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2661829.2663539

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