Pre-training models such as BERT have achieved great success in many natural language
processing tasks. However, how to obtain better sentence representation through these pre …

Graph representation learning is crucial for many real-world applications (eg social relation
analysis). A fundamental problem for graph representation learning is how to effectively …

Globally, the issue of climate change is becoming increasingly significant due to the rapid
change in weather conditions, and the construction industry contributes significantly to this …

The document text similarity measurement and analysis is a growing application of Natural
Language Processing. This paper presents the results of using different techniques for …

Abstract Knowledge Management in the era of Industry 4.0 (KM 4.0) in both human-and
technology-oriented perspectives is a strategic and operational function comprising …

Performance of any word processor, search engine, social media relies heavily on the spell-
checkers, grammar checkers etc. Spell-checkers are the language tools which break down …

While humans as a whole do live longer nowadays than ever before, we now suffer certain
illnesses to a degree never seen in the past-including rising rates of Diabetes, Hypertension …

Recommendation systems are an important feature in the proposed virtual life, where users
are often stuck with choices most of the time and need help to be able to find what they are …

Traditional Chinese medicine (TCM) has played an indispensable role in clinical diagnosis
and treatment. Based on a patient's symptom phenotypes, computation‐based prescription …

In an online learning system, the automatic scoring of an essay is key to providing
immediate feedback on essays submitted by students. To the best of our knowledge, existing …