Ergun Biçici. RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity. In SemEval-2017: Semantic Evaluation Exercises - International Workshop on Semantic Evaluation, Vancouver, Canada, August 2017. [WWW]
We use referential translation machines for predicting the semantic similarity of text in all STS tasks which contain Arabic, English, Spanish, and Turkish this year. RTMs pioneer a language independent approach to semantic similarity and remove the need to access any task or domain specific information or resource. RTMs become 6th out of 52 submissions in Spanish to English STS. We average prediction scores using weights based on the training performance to improve the overall performance.
Researcher in Computer Science and Engineering
PhD in Computer Engineering from
Department of Computer Engineering, Koç University.
