Enriching BabelNet verbal entities with videos: a linking experiment with the IMAGACT ontology of action.

Training Set

This manually annotated dataset has been used for the evalutation of the BabelNet-IMAGACT linking algorithm. For each pair <BabelSynset,Scene> a binary judgment is reported:

1 if the Scene is a good candidate to represent the BabelSynset;
0 else.

Scene → BabelSynset↓	029acd16	1ab992e7	33fe3bcd	36d56840	42a8a818	4846f6fa	4faba0b4	6a6faa02	7c62a3c4	7cdd6277	9609a67f	9adb3816	a9e2f425	abc2d9c6	af8021aa	b8118dbb	c0c8caf4	c3d6ec50	c97d5b1f	d069151b	ddf259a5	f3a5a603	f88fd870	f912d1e5	ff1f0e98	ee7c4403	d40c059e	c3687dea	bdc29622	afa1d6ed	a8c494d3	9f0fae8b	89bc9d69	7aca7f1e	771b36b6	718dbe0b	6f9006e1	655c425a	5ef3ce83	5d306b2e	54c82c19	54988bfb	523d54db	4cfca39d	4ce0740f	3ed12183	395c6918	344e3ecd	2ac4514c	083a0f62	← Scene BabelSynset↓
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BabelSynset↑ Scene →	029acd16	1ab992e7	33fe3bcd	36d56840	42a8a818	4846f6fa	4faba0b4	6a6faa02	7c62a3c4	7cdd6277	9609a67f	9adb3816	a9e2f425	abc2d9c6	af8021aa	b8118dbb	c0c8caf4	c3d6ec50	c97d5b1f	d069151b	ddf259a5	f3a5a603	f88fd870	f912d1e5	ff1f0e98	ee7c4403	d40c059e	c3687dea	bdc29622	afa1d6ed	a8c494d3	9f0fae8b	89bc9d69	7aca7f1e	771b36b6	718dbe0b	6f9006e1	655c425a	5ef3ce83	5d306b2e	54c82c19	54988bfb	523d54db	4cfca39d	4ce0740f	3ed12183	395c6918	344e3ecd	2ac4514c	083a0f62	BabelSynset↑ ← Scene