AIMC Topic: Semantics

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A semantic enhancement-based multimodal network model for extracting information from evidence lists.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Courts require the extraction of crucial information about various cases from heterogeneous evidence lists for knowledge-driven decision-making. However, traditional manual screening is complex and inaccurate when confronted with massive evidence lis...
Humans Semantics Neural Networks, Computer
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A shape composition method for named entity recognition.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Large language models (LLMs) roughly encode a sentence into a dense representation (a vector), which mixes up the semantic expression of all named entities within a sentence. So the decoding process is easily overwhelmed by sentence-specific informat...
Algorithms Humans Language Neural Networks, Computer Semantics Deep Learning Pattern Recognition, Automated Natural Language Processing
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Unambiguous granularity distillation for asymmetric image retrieval.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Previous asymmetric image retrieval methods based on knowledge distillation have primarily focused on aligning the global features of two networks to transfer global semantic information from the gallery network to the query network. However, these m...
Image Processing, Computer-Assisted Information Storage and Retrieval Semantics Humans Neural Networks, Computer Algorithms
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Multi-level semantic-aware transformer for image captioning.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Effective visual representation is crucial for image captioning task. Among the existing methods, the grid-based visual encoding methods take fragmented features extracted from the entire image as input, lacking the fine-grained semantic information ...
Algorithms Attention Humans Semantics Image Processing, Computer-Assisted Neural Networks, Computer
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Adaptive decoupling-fusion in Siamese network for image classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Convolutional neural networks (CNNs) are highly regarded for their ability to extract semantic information from visual inputs. However, this capability often leads to the inadvertent loss of important visual details. In this paper, we introduce an Ad...
Image Processing, Computer-Assisted Semantics Neural Networks, Computer Algorithms Humans
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Semantic information-based attention mapping network for few-shot knowledge graph completion.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Few-shot Knowledge Graph Completion (FKGC), an emerging technology capable of inferring new triples using only a few reference relation triples, has gained significant attention in recent years. However, existing FKGC methods primarily focus on struc...
Attention Semantics Humans Neural Networks, Computer
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Dynamic semantic-geometric guidance and structure transfer network for cross-scene hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Recently, cross-scene hyperspectral image classification(HSIC) via domain adaptation is drawing increasing attention. However, most existing methods either directly align the source domain and target domain without fully mining of SD information, or ...
Humans Neural Networks, Computer Hyperspectral Imaging Semantics Algorithms Image Processing, Computer-Assisted
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Towards zero-shot human-object interaction detection via vision-language integration.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Human-object interaction (HOI) detection aims to locate human-object pairs and identify their interaction categories in images. Most existing methods primarily focus on supervised learning, which relies on extensive manual HOI annotations. Such heavy...
Supervised Machine Learning Semantics Visual Perception Humans Neural Networks, Computer Language
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Exploiting instance-label dynamics through reciprocal anchored contrastive learning for few-shot relation extraction.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In the domain of Few-shot Relation Extraction (FSRE), the primary objective is to distill relational facts from limited labeled datasets. This task has recently witnessed significant advancements through the integration of Pre-trained Language Models...
Machine Learning Language Neural Networks, Computer Learning Humans Semantics
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Leveraging Context for Perceptual Prediction Using Word Embeddings.

Cognitive science Jun 1, 2025
Word embeddings derived from large language corpora have been successfully used in cognitive science and artificial intelligence to represent linguistic meaning. However, there is continued debate as to how well they encode useful information about t...
Humans Young Adult Adult Concept Formation Language Male Psycholinguistics Female Semantics
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