Binary Classification Task

Source language reordering can be seen as the preprocessing task of permuting the or- der of the source words in such a way that the resulting permutation allows as mono- …...

Semantic frames are a rich linguistic re- source. There has been much work on semantic frame parsers, but less that applies them to general NLP problems. We address a task …...

AbstractWe take a close look at a recent dataset of TED-talks annotated with the questions they implicitly evoke, TED-Q (Westera et al., 2020). We test to what extent the relation …...

AbstractThe intensity relationship that holds between scalar adjectives (e.g., nice < great < wonderful) is highly relevant for natural language inference and common-sense reasoning. Previous research on scalar adjective ranking …...

AbstractMachine Translation Quality Estimation (QE) aims to build predictive models to assess the quality of machine-generated translations in the absence of reference translations. While state-of-the-art QE models have been shown …...

AbstractThis paper presents our solutions systems for Task4 at SemEval2022: Patronizing and Condescending Language Detection. This shared task contains two sub-tasks. The first sub-task is a binary classification task whose …...

AbstractThis paper presents an overview of Task 4 at SemEval-2022, which was focused on detecting Patronizing and Condescending Language (PCL) towards vulnerable communities. Two sub-tasks were considered: a binary classification …...

AbstractThe web contains an abundance of user- generated content. While this content is useful for many applications, it poses many challenges due to the presence of offensive, biased, and overall …...