Team TMA at SemEval-2022 Task 8: Lightweight and Language-Agnostic News Similarity Classifier

Abstract

We present our contribution to the SemEval 22 Shared Task 8: Multilingual news article similarity. The approach is lightweight and language-agnostic, it is based on the computation of several lexicographic and embedding-based features, and the use of a simple ML approach: random forests. In a notable departure from the task formulation, which is a ranking task, we tackled this task as a classification one. We present a detailed analysis of the behaviour of our system under different settings.