Miller-Charles (MC-30) Dataset

A Miller-Charles (MC-30) Dataset is a Semantic Word Similarity Dataset that can be used in a Semantic Word Similarity Benchmark Task.

• AKA: MC-30 Dataset.
• Context:
  • It was first introduced by Miller & Charles, 1991.
• Example(s):
  • https://www.wikidata.org/wiki/Q43574034
  • http://lcl.uniroma1.it/similarity-datasets/
  • …
• Counter-Example(s):
  • SimLex-999 Dataset,
  • RG-65 Dataset.
  • MC-28 Dataset,
  • WordSim-353 Dataset.
• See: Training Dataset, Semantic Word Similarity Measure, Semantic Word Similarity System, SemEval-2017 Task 2, Reading Comprehension Dataset, Question-Answer Dataset.

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References

2017

• (Camacho-Collados et al., 2017) ⇒ Jose Camacho-Collados, Mohammad Taher Pilehvar, Nigel Collier, and Roberto Navigli. (2017). “SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity.” In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval@ACL 2017).

1991

• (Miller & Charles, 1991) ⇒ George A. Miller, and Walter G. Charles (1991). "Contextual Correlates of Semantic Similarity". In: Language and cognitive processes, 6(1), 1-28.

1965

• (Rubenstein & Goodenough, 1965) ⇒ Herbert Rubenstein, and John B. Goodenough (1965). "Contextual Correlates of Synonymy". In: Communications of the ACM (CACM) 8 (10).

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