---
abstract: "In this paper, we review five heuristic strategies for handling context- sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost (implicit) contextual information. We mention some evidence that hybrid strategies can have a synergetic effect. We then show how the work of several machine learning researchers fits into this framework. While we do not claim that these strategies exhaust the possibilities, it appears that the framework includes all of the techniques that can be found in the published literature on context-sensitive learning. \n\n"
altloc:
- http://extractor.iit.nrc.ca/publications/NRC-39221.pdf
chapter: ~
commentary: ~
commref: ~
confdates: ~
conference: Workshop on Learning in Context-Sensitive Domains at the 13th International Conference on Machine Learning (ICML96)
confloc: 'Bari, Italy'
contact_email: ~
creators_id: []
creators_name:
- family: Turney
given: Peter
honourific: ''
lineage: ''
date: 1996
date_type: published
datestamp: 2001-11-11
department: ~
dir: disk0/00/00/18/65
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edit_lock_user: ~
editors_id: []
editors_name: []
eprint_status: archive
eprintid: 1865
fileinfo: /style/images/fileicons/application_pdf.png;/1865/3/NRC%2D39221.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
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item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: ~
lastmod: 2011-03-11 08:54:49
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 60-66
pubdom: FALSE
publication: ~
publisher: ~
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:41:19
subjects:
- comp-sci-art-intel
- comp-sci-mach-learn
- comp-sci-stat-model
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: 'The management of context-sensitive features: A review of strategies'
type: confpaper
userid: 2175
volume: ~