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This paper describes our system for the classification of argument coercion for SemEval-2010 Task 7. We present two ap- proaches to classifying an argument’s se- mantic class, which is then …...

In this paper, we compare feature-based and Neural Network-based approaches on the su- pervised stance classification task for tweets in SemEval-2016 Task 6 Subtask A (Moham- mad et al., 2016). …...

AbstractLarge repositories of scientific literature call for the development of robust methods to extract information from scholarly papers. This problem is addressed by the SemEval 2018 Task 7 on extracting …...

AbstractThis paper describes our submission to the SemEval 2019 Hyperpartisan News Detection task. Our system aims for a linguistics-based document classification from a minimal set of interpretable features, while maintaining …...

AbstractIn this study, we created an automated essay scoring (AES) system for nonnative Japanese learners using an essay dataset with annotations for a holistic score and multiple trait scores, including …...

AbstractWord embeddings that consider context have attracted great attention for various natural language processing tasks in recent years. In this paper, we utilize contextualized word embeddings with the transformer encoder …...

AbstractWe present a methodological framework for inferring symmetry of verb predicates in natural language. Empirical work on predicate symmetry has taken two main approaches. The feature-based approach focuses on linguistic …...