ROOT9: Datasets and Paper

This repository contains all the information related to the system ROOT9, for the supervised classification of Hypernyms, Co-Hyponyms and Randoms (including Switched Hypernyms).
esantus · Mar 12, 2016 · b9db9bb · b9db9bb
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diff --git a/Dataset_BL_Coord b/Dataset_BL_Coord
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diff --git a/Dataset_WN_Coord b/Dataset_WN_Coord
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diff --git a/LREC_ROOT9.pdf b/LREC_ROOT9.pdf
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+In this repository, you can find the datasets used to train and evaluate ROOT9, as described in Santus et al. (2016c).
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+It includes the 9600 pairs (and the 12800 ones, which also include switched hypernyms: i.e., dog RANDOM fruit) randomly extracted from EVALution (Santus et al., 2015), Lenci/Benotto (Benotto, 2015) and BLESS (Baroni and Lenci, 2010).
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+On top of our datasets, we also provide the subsets of the WN_Hyper, WN_Coord, BL_Hyper and BL_Coord from Weeds et al. (2014).
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+Please, read the attached paper (Santus et al., 2016 - LREC) for more information.
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+Acknowledgements
+We are very grateful to Julie Weeds for having helped us, recalculating the results of Weeds et al. (2014) models also for our subsets of their datasets.
+Thanks also to Aristotelis Kostopoulos for the precious suggestions.