Marco-Elia-Nam (MEN) Semantic Word Relatedness Dataset
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A Marco-Elia-Nam (MEN) Semantic Word Relatedness Dataset is a Semantic Word Relatedness Dataset that is used in a MEN semantic relatedness benchmark task.
- Example(s):
- …
- Counter-Example(s):
- See: Training Dataset, Semantic Word Similarity Measure, Semantic Word Similarity System, SemEval-2017 Task 2, Word Relatedness Measure, Distributional Semantics, Multimodal Semantic Relatedness Model.
References
2014
- (Bruni et al., 2014) ⇒ Elia Bruni, Nam-Khanh Tran, and Marco Baroni. (2014). "Multimodal Distributional Semantics". In: Journal of Artificial Intelligence Research, 49.
- QUOTE: The high-score MEN pairs include not only pairs of terms that are strictly taxonomically close (
cathedral
-church
: 0.94) but also terms that are connected by broader semantic relations, such as whole-part (flower
-petal
: 0.92), item and related event (boat
-fishing
: 0.9),etc. For this reason, we prefer to refer to MEN as a semantic relatedness rather than similarity score data set. Note that WS is also capturing a broader notion of relatedness (Agirre et al., 2009). MEN is publicly available and it can be downloaded from: http://clic.cimec.unitn.it/~elia.bruni/MEN
- QUOTE: The high-score MEN pairs include not only pairs of terms that are strictly taxonomically close (