MeRaLi System
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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):
- 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.
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).