Text similarity measurement is the basis of natural language processing tasks, which play an
important role in information retrieval, automatic question answering, machine translation …

Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of
Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (eg …

Recent years have seen important advances in the quality of state-of-the-art models, but this
has come at the expense of models becoming less interpretable. This survey presents an …

We tackle the crucial challenge of fusing different modalities of features for multimodal
sentiment analysis. Mainly based on neural networks, existing approaches largely model …

Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …

Quantum mechanism, which has received widespread attention, is in continuous evolution
rapidly. The powerful computing power and high parallel ability of quantum mechanism …

Sentiment analysis in conversations is an emerging yet challenging artificial intelligence (AI)
task. It aims to discover the affective states and emotional changes of speakers involved in a …

The meeting between Natural Language Processing (NLP) and Quantum Computing has
been very successful in recent years, leading to the development of several approaches of …

Tensor networks (TNs) and neural networks (NNs) are two fundamental data modeling
approaches. TNs were introduced to solve the curse of dimensionality in large-scale tensors …

In linguistics, the uncertainty of context due to polysemy is widespread, which attracts much
attention. Quantum-inspired complex word embedding based on Hilbert space plays an …