Recent years have seen big advances in the field of sentence-level quality estimation (QE),
largely as a result of using neural-based architectures. However, the majority of these …

Building change detection is a prominent topic in remote sensing applications. Scholars
have proposed a variety of fully-convolutional-network-based change detection methods for …

Describing soundscapes in sentences allows better understanding of the acoustic scene
than a single label indicating the acoustic scene class or a set of audio tags indicating the …

Nanoscale chirality is an actively growing research field spurred by the giant chiroptical
activity, enantioselective biological activity, and asymmetric catalytic activity of chiral …

In large-scale software development environments, defect reports are maintained through
bug tracking systems (BTS) and analyzed by domain experts. Different users may create bug …

In nowadays manufacturing, each technical assistance operation is digitally tracked. This
results in a huge amount of textual data that can be exploited as a knowledge base to …

Text, as one of the main communication methods, is frequently used as a data source for
natural language processing (NLP) studies. Naturally, our thoughts, expressions, and …

This article dwells process of ML-model development for detecting paraphrasing by binary
classification of texts pair. For this study, the following semantic similarity metrics or …

Automatic socio-political and crisis event detection has been a challenge for natural
language processing as well as social and political science communities, due to the …

Focused crawler traverses the Web to only collect pages that are relevant to a particular
topic, and is increasingly considered as a way to get around the scalability issues with …