Pre-trained language models (PTLMs) have achieved impressive performance on commonsense inference benchmarks, but their ability to employ commonsense to make robust inferences, which is crucial for effective communications with humans, is debated. In
the pursuit of advancing fluid human-AI communication, we propose a new challenge, RICA: Robust Inference using Commonsense Axioms, that evaluates robust commonsense inference despite textual perturbations. To generate data for this challenge, we develop a systematic and scalable procedure using commonsense knowledge bases and probe PTLMs across two different evaluation settings. Extensive experiments on our generated probe sets with more than 10k statements show that PTLMs perform no better than random guessing on the zero-shot setting, are heavily impacted by statistical biases, and are not robust to perturbation attacks. We also find that fine-tuning on similar statements offer limited gains, as PTLMs still fail to generalize to unseen inferences. Our new large-scale benchmark exposes a significant gap between PTLMs and human-level language understanding and offers a new challenge for PTLMs to demonstrate commonsense.
The paper discussed the lack of the river
tourism development on the River Alasi banks although it has a lot of opportunities for an
appropriate riverine tourism, in particular of Hama city, where many recreational and
tourism potential are exist.
Thus the research studied the river tourism to the emerged
within international cities, which depends on multiple natural and human factors located on
the banks of the river, where the luxury tourist boats and several types of Sports River had
been increased
The paper aimed to introduce a field inventory of the tourist potential the banks of
the Alasi River through a field survey identifying the possibilities that exist on the banks of
the River Alasi in Hama city that can be used as a key-core to the fluvial tourism.
Comparing potentials and riverine tourism requirements derived from studying worldwide
models with the status of the riverbanks in the area of research.
