Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Composite Event Indicator Processing in Event Extraction for Non-configurational Language

Authors: Valery D. Solovyev; Vladimir Ivanov 0001;

Composite Event Indicator Processing in Event Extraction for Non-configurational Language

Abstract

Using event indicators is a well-known approach for event extraction. However, in most cases, event indicators are represented as single isolated words. In this paper, we deal with composite event indicators consisting of two and more words. Composite indicators are crucial to track modality when extracting events (e.g., possible events, desirable events, etc.). We proposed algorithms for the extraction of composite indicators as well as algorithms for the extraction of event arguments from sentences with composite indicators. The research is focused on Russian as an example of non-configurational language. © Springer-Verlag 2013.

Keywords

Composite event indicators, Event extraction, Non-configurational languages

  • BIP!
    Impact byBIP!
    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).
    1
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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
Beta
sdg_colorsSDGs:
Related to Research communities
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!