Noun-Modifier Questions (State of the art)
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- multiple-choice noun-modifier questions
- 2,180 seven-choice questions for evaluating noun-modifier composition models
- questions derived from WordNet
- split into 680 questions for training (e.g., development, parameter tuning) and 1,500 questions for testing
- introduced in Turney (2012)
- see also: Similarity (State of the art)
Sample question
Stem: coin collector Choices: (a) numismatist (b) coin (c) collector (d) coinage (e) aggregator (f) reflectiveness (g) plasma Solution: (a) numismatist
Table of results
| Algorithm | Reference for algorithm | Reference for experiment | Correct - 7-choices | Correct - 14-choices |
|---|---|---|---|---|
| Vector addition | Landauer and Dumais (1997) | Turney (2012) | 50.1 | 22.5 |
| Element-wise multiplication | Mitchell and Lapata (2008) | Turney (2012) | 57.5 | 27.4 |
| Dual-Space model | Turney (2012) | Turney (2012) | 58.3 | 41.5 |
| SuperSim | Turney (2013) | Turney (2013) | 75.9 | 68.0 |
| Holistic model | Turney (2012) | Turney (2012) | 81.6 | NA |
References
Turney, P.D. (2012). Domain and function: A dual-space model of semantic relations and compositions, Journal of Artificial Intelligence Research (JAIR), 44, 533-585.
Turney, P.D. (2013), Distributional semantics beyond words: Supervised learning of analogy and paraphrase, Transactions of the Association for Computational Linguistics (TACL), 1, 353-366.