Amanote Research

Amanote Research

  • Register
  • Sign In

A Semi-Automatic and Low-Cost Method to Learn Patterns for Named Entity Recognition

Natural Language Engineering- United Kingdom

doi 10.1017/s135132491700016x

Full Text

Abstract

Available in

Categories

LinguisticsArtificial IntelligenceLanguageSoftware

Date

June 15, 2017

Authors

M. MARREROJ. URBANO

Publisher

Cambridge University Press (CUP)


Related search

A Simple Semi-Supervised Algorithm for Named Entity Recognition

2009English

Boosting for Named Entity Recognition

2002English

Nested Named Entity Recognition

2009English

Nested Named Entity Recognition Revisited

2018English

Character Feature Learning for Named Entity Recognition

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2018English

Role-Based Model for Named Entity Recognition

2017English

XML Tools and Architecture for Named Entity Recognition

Markup Languages: Theory and Practice
1999English

Exploiting Domain Structure for Named Entity Recognition

2006English

Using Workflows to Explore and Optimise Named Entity Recognition for Chemistry

PLoS ONE
Multidisciplinary
2011English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy