Search Results for author: Anandh Perumal

Found 2 papers, 1 papers with code

ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)

1 code implementation • SEMEVAL 2020 • Anandh Perumal, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane

In order to generate more meaningful explanations, we propose UNION, a unified end-to-end framework, to utilize several existing commonsense datasets so that it allows a model to learn more dynamics under the scope of commonsense reasoning.

Model Selection Multi-Task Learning

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Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning

no code implementations • 26 Jan 2020 • Abhishek Nan, Anandh Perumal, Osmar R. Zaiane

Algorithmic trading, due to its inherent nature, is a difficult problem to tackle; there are too many variables involved in the real world which make it almost impossible to have reliable algorithms for automated stock trading.

Algorithmic Trading Knowledge Graphs +4

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