CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
1 Classification Methods for Structured Outputs
Authors
Diego Sona
Fondazione Bruno Kessler (fbk-irst
Nicola Polettini
Paolo Avesani
Publication date
1 January 2007
Publisher
Abstract
Abstract- This paper is conceived as a summary of previous works that explored many alternative learning models for classification of documents on structured outputs. We provide a discussion of strong and weak points for each method. I
Similar works
Full text
Available Versions
Archivio della ricerca - Fondazione Bruno Kessler
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:cris.fbk.eu:11582/3281
Last time updated on 03/09/2019