This paper defines a standard for comparing relation extraction (RE) sys- tems based on a Distant Supervision (DS). We integrate the well-known New York Time corpus with the more recent version of Freebase. Then, we define a simpler RE system based on DS, which exploits SVMs, tree kernels and a simple one-vs-all strategy. The resulting model can be used as a baseline for system comparison. We also study several example filtering tech- niques for improving the quality of the DS output.

Creating a standard for evaluating Distant Supervision for Relation Extraction

Moschitti, Alessandro
2014-01-01

Abstract

This paper defines a standard for comparing relation extraction (RE) sys- tems based on a Distant Supervision (DS). We integrate the well-known New York Time corpus with the more recent version of Freebase. Then, we define a simpler RE system based on DS, which exploits SVMs, tree kernels and a simple one-vs-all strategy. The resulting model can be used as a baseline for system comparison. We also study several example filtering tech- niques for improving the quality of the DS output.
2014
the First Italian Conference on Computational Linguistics (CLIC-it)
Pisa
Pisa University Press
9788867414727
Azad, Abad; Moschitti, Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/101835
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