no code implementations • AMTA 2022 • Elizabeth M Merkhofer, John Henderson, Abigail Gertner, Michael Doyle, Lily Wong
Studies show machine translation systems are vulnerable to adversarial attacks, where a small change to the input produces an undesirable change in system behavior.
no code implementations • SEMEVAL 2019 • Abigail Gertner, John Henderson, Elizabeth Merkhofer, Amy Marsh, Ben Wellner, Guido Zarrella
This paper describes MITRE{'}s participation in SemEval-2019 Task 5, HatEval: Multilingual detection of hate speech against immigrants and women in Twitter.
no code implementations • SEMEVAL 2018 • Elizabeth Merkhofer, John Henderson, David Bloom, Laura Strickhart, Guido Zarrella
This paper describes MITRE{'}s participation in SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge.
no code implementations • SEMEVAL 2017 • John Henderson, Elizabeth Merkhofer, Laura Strickhart, Guido Zarrella
This paper describes MITRE{'}s participation in the Semantic Textual Similarity task (SemEval-2017 Task 1), which evaluated machine learning approaches to the identification of similar meaning among text snippets in English, Arabic, Spanish, and Turkish.