Task-Driven Linguistic Analysis based on an Underspecified Features Representation

Stasinos Konstantopoulos, Valia Kordoni, Nicola Cancedda, Vangelis Karkaletsis, Dietrich Klakow, Jean-Michel Renders


Abstract
In this paper we explore a task-driven approach to interfacing NLP components, where language processing is guided by the end-task that each application requires. The core idea is to generalize feature values into feature value distributions, representing under-specified feature values, and to fit linguistic pipelines with a back-channel of specification requests through which subsequent components can declare to preceding ones the importance of narrowing the value distribution of particular features that are critical for the current task.
Anthology ID:
L12-1075
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
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Pages:
1966–1970
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/219_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Stasinos Konstantopoulos, Valia Kordoni, Nicola Cancedda, Vangelis Karkaletsis, Dietrich Klakow, and Jean-Michel Renders. 2012. Task-Driven Linguistic Analysis based on an Underspecified Features Representation. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1966–1970, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Task-Driven Linguistic Analysis based on an Underspecified Features Representation (Konstantopoulos et al., LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/219_Paper.pdf