MeRaLi System

A MeRaLi System is a Multilingual and Cross-lingual Semantic Word Similarity System that is built on a TTCS-e lexical resource that relies on BabelNet, NASARI and ConceptNet.

• Context:
  • It was initially built by Mensa et al.(2017).
• Example(s):
  • …
• Counter-Example(s):
  • Luminoso.
  • HCCL,
  • Mahtab,
  • QLUT,
  • Citius,
  • jmp8,
  • l2f,
  • RUFINO,
  • SEW-EMBED,
  • hhu,
  • Wild Devs,
  • OoO,
  • NASARI.
• See: SemEval, SemEval-2017 Task, Semantic Word Similarity Benchmark Task, Semantic Textual Similarity Benchmark Task, Semantic Similarity Modelling System, Semantic Similarity Measure, Semantic Relatedness Measure.

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References

2017a

• (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).

2017b

• (Mensa et al., 2017) ⇒ Enrico Mensa, Daniele Paolo Radicioni, and Antonio Lieto. (2017). “MERALI at SemEval-2017 Task 2 Subtask 1: A Cognitively Inspired Approach.” In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval@ACL 2017).

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