Commonsense inference in human-robot communication

Huminski, Aliaksandr; Ng, Yan Bin; Kwok, Kenneth; Bond, Francis

doi:10.18653/v1/d19-6013

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Commonsense Inference Benchmarks1

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2021

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“…Apart from reading comprehension, there are other commonsense inference tasks that are being used for evaluation. In the work of [62] the goal is to perform commonsense inference in human-robot communication. This is an important task because human-human communications often describe the expected change of state after an action, and the actions to achieve the change are not detailed.…”

Section: Commonsense Inference Benchmarksmentioning

confidence: 99%

Understanding in Artificial Intelligence

Maetschke¹,

Iraola²,

Barnard³

et al. 2021

Preprint

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Current Artificial Intelligence (AI) methods, most based on deep learning, have facilitated progress in several fields, including computer vision and natural language understanding. The progress of these AI methods is measured using benchmarks designed to solve challenging tasks, such as visual question answering. A question remains of how much understanding is leveraged by these methods and how appropriate are the current benchmarks to measure understanding capabilities. To answer these questions, we have analysed existing benchmarks and their understanding capabilities, defined by a set of understanding capabilities, and current research streams. We show how progress has been made in benchmark development to measure understanding capabilities of AI methods and we review as well how current methods develop understanding capabilities.

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Section: Commonsense Inference Benchmarksmentioning

confidence: 99%