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https://doi.org/10.3115/121907...
Article . 2004 . Peer-reviewed
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Temporal context

applications and implications for computational linguistics
Authors: Robert A. Liebscher;

Temporal context

Abstract

This paper describes several ongoing projects that are united by the theme of changes in lexical use over time. We show that paying attention to a document's temporal context can lead to improvements in information retrieval and text categorization. We also explore a potential application in document clustering that is based upon different types of lexical changes.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze