Our experiments on several synthetic and six diverse real-world benchmark problems show that USeMO consistently outperforms the state-of-the-art algorithms.

In this paper, we present TextFooler, a simple but strong baseline to generate adversarial text. By applying it to two fundamental natural language tasks, text ...

In this paper, we evaluate the cross-lingual effectiveness of representations from the encoder of a massively multilingual NMT model on 5 downstream ...

In this paper, we introduce the task of physical commonsense reasoning and a corresponding benchmark dataset Physical Interaction: Question Answering or PIQA.

In this work, we explore the challenging task of argument quality ranking. To this end, we created a corpus of 30,497 arguments carefully annotated for point- ...

The HSIC bottleneck is an alternative to the conventional cross-entropy loss and backpropagation that has a number of distinct advantages. It mitigates ...

Proceedings of the AAAI Conference on Artificial Intelligence, 34(05), 7383-7390. https://doi.org/10.1609/aaai.v34i05.6233. More Citation Formats. ACM · ACS ...

In this paper, we propose a neural question generation model with two general modules: sentence-level semantic matching and answer position inferring. Further, ...