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Weakly-supervised discovery of named entities using web search queries

Author:

Marius PaşcaAuthors Info & Claims

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

Pages 683 - 690

https://doi.org/10.1145/1321440.1321536

Published: 06 November 2007 Publication History

Abstract

A seed-based framework for textual information extraction allows for weakly supervised extraction of named entities from anonymized Web search queries. The extraction is guided by a small set of seed named entities, without any need for handcrafted extraction patterns or domain-specific knowledge, allowing for the acquisition of named entities pertaining to various classes of interest to Web search users. Inherently noisy search queries are shown to be a highly valuable, albeit little explored, resource for Web-based named entity discovery.

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Cited By

Zheng YShi CCao XLi XWu B(2022)A Meta Path Based Method for Entity Set Expansion in Knowledge GraphIEEE Transactions on Big Data10.1109/TBDATA.2018.28053668:3(616-629)Online publication date: 1-Jun-2022
https://doi.org/10.1109/TBDATA.2018.2805366
Mahajan PRana D(2021)Investigating Clinical Named Entity Recognition Approaches for Information Extraction from EMRTracking and Preventing Diseases with Artificial Intelligence10.1007/978-3-030-76732-7_7(153-175)Online publication date: 15-Jul-2021
https://doi.org/10.1007/978-3-030-76732-7_7
Yang SLi BCao YFu HLai YKobbelt LHu S(2020)Noise-Resilient Reconstruction of Panoramas and 3D Scenes Using Robot-Mounted Unsynchronized Commodity RGB-D CamerasACM Transactions on Graphics10.1145/338941239:5(1-15)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1145/3389412
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Index Terms

Weakly-supervised discovery of named entities using web search queries
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
  2. Machine learning
2. Information systems
  1. Information retrieval
    1. Document representation

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Published In

cover image ACM Conferences

CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management

November 2007

1048 pages

ISBN:9781595938039

DOI:10.1145/1321440

Co-chair:
Alberto H. F. Laender,
Conference Chairs:
André O. Falcão
Universidade de Lisboa, Portugal
,
Øystein Haug Olsen,
General Chair:
Mário J. Silva
(Universidade de Lisboa, Portugal)
,
Program Chairs:
Ricardo Baeza-Yates,
Deborah L. McGuinness,
Bjorn Olstad

Copyright © 2007 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 ACM 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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New York, NY, United States

Publication History

Published: 06 November 2007

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CIKM07

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CIKM07: Conference on Information and Knowledge Management

November 6 - 10, 2007

Lisbon, Portugal

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

Zheng YShi CCao XLi XWu B(2022)A Meta Path Based Method for Entity Set Expansion in Knowledge GraphIEEE Transactions on Big Data10.1109/TBDATA.2018.28053668:3(616-629)Online publication date: 1-Jun-2022
https://doi.org/10.1109/TBDATA.2018.2805366
Mahajan PRana D(2021)Investigating Clinical Named Entity Recognition Approaches for Information Extraction from EMRTracking and Preventing Diseases with Artificial Intelligence10.1007/978-3-030-76732-7_7(153-175)Online publication date: 15-Jul-2021
https://doi.org/10.1007/978-3-030-76732-7_7
Yang SLi BCao YFu HLai YKobbelt LHu S(2020)Noise-Resilient Reconstruction of Panoramas and 3D Scenes Using Robot-Mounted Unsynchronized Commodity RGB-D CamerasACM Transactions on Graphics10.1145/338941239:5(1-15)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1145/3389412
Xiao ZLi CChen H(2020)PatternRank+NNACM Transactions on the Web10.1145/338604214:3(1-15)Online publication date: 3-May-2020
https://dl.acm.org/doi/10.1145/3386042
Ashtari AStevšić SNägeli TBazin JHilliges O(2020)Capturing Subjective First-Person View Shots with Drones for Automated CinematographyACM Transactions on Graphics10.1145/337867339:5(1-14)Online publication date: 10-Aug-2020
https://dl.acm.org/doi/10.1145/3378673
Wang X(2020)Query Segmentation and TaggingQuery Understanding for Search Engines10.1007/978-3-030-58334-7_3(43-67)Online publication date: 2-Dec-2020
https://doi.org/10.1007/978-3-030-58334-7_3
Waniek MMichalak TAlshamsi A(2019)Strategic Attack & Defense in Security Diffusion GamesACM Transactions on Intelligent Systems and Technology10.1145/335760511:1(1-35)Online publication date: 10-Dec-2019
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Lopes RAssunção RSantos R(2019)Graph-based Recommendation Meets Bayes and Similarity MeasuresACM Transactions on Intelligent Systems and Technology10.1145/335688211:1(1-26)Online publication date: 14-Dec-2019
https://dl.acm.org/doi/10.1145/3356882
Basu KSaeed SPilato CAshraf MNabeel MChakrabarty KKarri R(2019)CAD-BaseACM Transactions on Design Automation of Electronic Systems10.1145/331557424:4(1-30)Online publication date: 18-Apr-2019
https://dl.acm.org/doi/10.1145/3315574
Li YYilmaz ESarson POzev S(2019)Adaptive Test for RF/Analog Circuit Using Higher Order Correlations among MeasurementsACM Transactions on Design Automation of Electronic Systems10.1145/330856624:4(1-16)Online publication date: 26-Jun-2019
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