Системы Дулут

This paper describes the SyntaLex entries in the English Lexical Sample Task of SENSEVAL-3. There are four entries in all, where each of the dif- ferent entries corresponds to use …...

This paper describes the Duluth systems that participated in Task 2 of SemEval–2012. These systems were unsupervised and relied on variations of the Gloss Vector measure found in the freely …...

The Duluth systems that participated in task 11 of SemEval–2013 carried out word sense induction (WSI) in order to cluster Web search results. They relied on an approach that repre- …...

This paper describes the Duluth systems that participated in the Cross–Level Se- mantic Similarity task of SemEval–2014. These three systems were all unsupervised and relied on a dictionary melded together …...

This paper describes the Duluth systems that participated in Task 15 of SemEval 2015. The goal of the task was to automatically construct dictionary entries (via a series of three …...

This paper describes the Duluth systems that participated in Task 14 of SemEval 2016, Se- mantic Taxonomy Enrichment. There were three related systems in the formal evalua- tion which are …...

AbstractThis paper describes the Duluth systems that participated in SemEval-2017 Task 7 : Detection and Interpretation of English Puns. The Duluth systems participated in all three subtasks, and relied on …...

AbstractThis paper describes the Duluth systems that participated in SemEval–2019 Task 6, Identifying and Categorizing Offensive Language in Social Media (OffensEval). For the most part these systems took traditional Machine …...

AbstractThis paper describes the Duluth systems that participated in SemEval–2020 Task 12, Multilingual Offensive Language Identification in Social Media (OffensEval–2020). We participated in the three English language tasks. Our systems …...