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A detailed library perspective on nearly unsupervised information extraction workflows in digital libraries
Information extraction can support novel and effective access paths for digital libraries. Nevertheless, designing reliable extraction workflows can...
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CRAS: cross-domain recommendation via aspect-level sentiment extraction
To address the problem of sparse data and cold-start when facing new users and items in the single-domain recommendation, cross-domain recommendation...
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RoadTransNet: advancing remote sensing road extraction through multi-scale features and contextual information
Road extraction is a crucial task that requires high-resolution remote sensing images with wide-ranging applications in urban planning, navigation,...
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A genetic algorithm for rule extraction in fuzzy adaptive learning control networks
This paper presents a novel approach, dubbed Falcon-GA, for rule extraction in a Fuzzy Adaptive Learning Control Network (FALCON) using a Genetic...
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Zero-Shot Relation Triplet Extraction via Retrieval-Augmented Synthetic Data Generation
In response to the challenge of existing relation triplet extraction models struggling to adapt to new relation categories in zero-shot scenarios, we...
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Keyword Extraction: A Modern Perspective
The goal of keyword extraction is to extract from a text, words, or phrases indicative of what it is talking about. In this work, we look at keyword...
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Event-Aware Document-Level Event Extraction via Multi-granularity Event Encoder
Event extraction (EE) is a crucial task in natural language processing that entails identifying and extracting events from unstructured text....
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Efficient feature extraction and classification for the development of Pashto speech recognition system
In this work, a novel framework for the efficient feature extraction and recognition of Pashto speech signals is proposed. The targeted language is...
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Extraction Technology of Urban Vegetation Information with Remote Sensing
Extraction of Urban vegetation information is the foundation and a crucial part of urban green space remote sensing research, the accuracy determines...
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A Phrase-Level Attention Enhanced CRF for Keyphrase Extraction
Since sequence labeling-based methods take into account the dependencies between neighbouring labels, they have been widely used for keyphrase...
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Entity Relation Joint Extraction with Data Augmentation Based on Large Language Model
Entity relation extraction aims to identify entities and their semantic relationships from unstructured text. To address issues like cascading errors...
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Chinese Book Information Extraction Based on Bert and Rule Matching
Extracting book-related information from length texts is of great importance as the basis for downstream tasks in the field of graphical...
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Graph-based feature extraction on object-centric event logs
Process mining techniques have proven crucial in identifying performance and compliance issues. Traditional process mining, however, is primarily...
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Intelligent Extraction of Color Features in Architectural Space Based on Machine Vision
Architecture itself has artistic characteristics, and architectural color will change with the change of environmental parameters. The analysis of...
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Seq2EG: a novel and effective event graph parsing approach for event extraction
Event extraction is a fundamental task in information extraction. Most previous approaches typically transform event extraction into two subtasks:...
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FPFnet: Image steganalysis model based on adaptive residual extraction and feature pyramid fusion
Image steganalysis is a technique for detecting images that contain hidden information. Convolutional neural networks have shown great potential in...
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A fine-grained causality extraction model incorporating relative location coding
Popular methods of causality extraction work well for simple and explicit single causal relations, but it remains challenging to extract causal...
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An improved target tracking method based on extraction of corner points
Kernel correlation filter (KCF) algorithm is famous for fast tracking speed and has been used widely, while it is susceptible under some challenging...
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LineFormer: Line Chart Data Extraction Using Instance Segmentation
Data extraction from line-chart images is an essential component of the automated document understanding process, as line charts are a ubiquitous...
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Threat Action Extraction Based on Coreference Resolution
The knowledge of attacks contained in Cyber Threat Intelligence (CTI) reports is very important to effectively identify and quickly respond to cyber...