Semantic Similarity SART Dataset

A Semantic Similarity SART Dataset is a Semantic Word Similarity Dataset that is a part of the SART Dataset.

• Context:
  • It was first introduced by Khusainova et al. (2019).
  • It is based on WordSim-353 Dataset.
• Example(s):
  • https://github.com/tat-nlp/SART
  • …
• Counter-Example(s):
  • RG-65 Dataset,
  • MC-30 Dataset,
  • SimLex-999 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

2019

• (Khusainova et al., 2019) ⇒ Albina Khusainova, Adil Khan, and Adin Ramirez Rivera (2019). "SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation". In: arXiv:1904.00365

2017

• (Camacho-Collados et al., 2017) ⇒ Jose Camacho-Collados, aMohammad 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).

2002

• (Finkelstein et al., 2002) ⇒ Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, and Eytan Ruppin (2002). "Placing Search in Context: The Concept Revisited". In: ACM Transactions on Information Systems (TOIS), Volume 20.

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