Cross-Lingual Semantic Textual Similarity
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Cross-Lingual Semantic Textual Similarity
Interpretable STS
Latest papers with no code
Linear Transformations for Cross-lingual Semantic Textual Similarity
Cross-lingual semantic textual similarity systems estimate the degree of the meaning similarity between two sentences, each in a different language.
ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity
To address semantic similarity on multilingual and cross-lingual sentences, we firstly translate other foreign languages into English, and then feed our monolingual English system with various interactive features.
Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model
This paper describes a neural-network model which performed competitively (top 6) at the SemEval 2017 cross-lingual Semantic Textual Similarity (STS) task.
