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.
1 code implementation • SEMEVAL 2016 • Guido Zarrella, Amy Marsh
We describe MITRE's submission to the SemEval-2016 Task 6, Detecting Stance in Tweets.
no code implementations • 16 Jan 2016 • Peter U. Diehl, Guido Zarrella, Andrew Cassidy, Bruno U. Pedroni, Emre Neftci
We find that short synaptic delays are sufficient to implement the dynamical (temporal) aspect of the RNN in the question classification task.
no code implementations • 16 Jan 2016 • Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella
We present an approach to constructing a neuromorphic device that responds to language input by producing neuron spikes in proportion to the strength of the appropriate positive or negative emotional response.