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In recent years, the rise of big data has popularized data-driven decision-making. However, the interpretability shortcomings of artificial intelligence (AI) models limit their reliability for critical decisions. This paper proposes a paradigm ...

Click-through rate(CTR) prediction is an important task in personalized advertising and recommender systems. Currently, many approaches model feature interactions to improve their performance. DeepFM as a classical approach takes care of both high-...

Yoga, with a history spanning hundreds of years, is often referred to as a “treasure of the world.” As global emphasis on health and fitness increases, yoga, which integrates physical, mental, and spiritual practices, has gained significant ...

This paper introduces an innovative approach to multi-perspective argument generation in the context of debate topics. Traditional text generation models, such as T5, often fall short in producing diverse arguments, leading to a lack of depth and ...

Emotion-Cause Pair Extraction (ECPE) task, which aims at identifying and extract emotion clauses and corresponding cause clauses. Existing approaches typically employ sequential encoding of features in a predetermined order, which results in ...

The rapid proliferation of artificial intelligence (AI) technologies has introduced unprecedented opportunities across various industries, from healthcare and finance to manufacturing and entertainment. However, the sheer volume of AI projects has ...

Analyzing written customer reviews is something every business is focusing on these days. Written customer reviews are a valuable source of information that can provide insights into the system, but dealing with text feedback as unstructured data ...

Flood forecasting methods based on deep learning rely on a large number of observational data, and are facing serious challenges in areas with scarce data. Aiming at the problems of flood inundated range prediction in areas with scarce data, this ...