With the continuous advancement of remote sensing technology, it is easier to obtain high-resolution, multi-temporal and multi-spectral images. The images carry rich information of ground objects. However, how to effe...
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Previous work on empathetic response generation mainly focused on utilizing the speaker's emotions to generate responses. However, the performance of identifying fine-grained emotions is relatively poor, which res...
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We introduce MESAQA, a novel dataset focusing on multi-span contextual understanding question answering (QA). Unlike traditional single-span QA systems, questions in our dataset consider information from multiple span...
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Problem-based and project-based learning (PBL) is a creative, inquiry-based process, enriched by teamwork, implemented through a longer timespan, with considerable student workload. As the process is normally conducte...
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Currently, the registration of non-rigid 3D objects remains a challenging task. This paper proposes an unsupervised non-rigid point cloud registration network based on local correspondence relationships, namely the LC...
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Existing MOOC review sentiment classification methods do not fully utilize the local context information associated with aspect, and they ignore the connection between local and global contexts, while resulting in mod...
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Generative information extraction (Generative IE) aims to generate structured text sequences from unstructured text using a generative framework. Scaling in model size yields variations in adaptation and generalizatio...
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Visual7W has been widely used in assessing multiple-choice visual question-answering (VQA) systems. This paper reports on a replicated human experiment on Visual7W with the aim of understanding the human-level perform...
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The demand for emotional support is increasingly growing. To enhance the effectiveness of models in emotional support conversations, strategy-guided dialogue generation has become a common approach. However, relying s...
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Conversational Query Reformulation (CQR) has significantly advanced in addressing the challenges of conversational search, particularly those stemming from the latent user intent and the need for historical context. R...
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