Papers Knowledge Base Construction
“Knowledge Base Construction” 태그가 달린 논문 94편 · 필터 해제
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models
As the scale and complexity of spatiotemporal data continue to grow rapidly, the use of geospatial modeling on the Google Earth Engine (GEE) platform presents dual challenges: improving the coding efficiency of domain ex…
Code GenerationKnowledge Base ConstructionRAGRetrieval-augmented GenerationEnabling LLM Knowledge Analysis via Extensive Materialization
Large language models (LLMs) have majorly advanced NLP and AI, and next to their ability to perform a wide range of procedural tasks, a major success factor is their internalized factual knowledge. Since Petroni et al. (…
Knowledge Base ConstructionLarge Language ModelDocument Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction
Document parsing is essential for converting unstructured and semi-structured documents such as contracts, academic papers, and invoices into structured, machine-readable data. Document parsing reliable structured data f…
Data IntegrationKnowledge Base ConstructionLarge Language Models as a Tool for Mining Object Knowledge
Commonsense knowledge is essential for machines to reason about the world. Large language models (LLMs) have demonstrated their ability to perform almost human-like text generation. Despite this success, they fall short …
General KnowledgeKnowledge Base ConstructionKnowledge GraphsMulti-hop Question Answering+2Project SHADOW: Symbolic Higher-order Associative Deductive reasoning On Wikidata using LM probing
We introduce SHADOW, a fine-tuned language model trained on an intermediate task using associative deductive reasoning, and measure its performance on a knowledge base construction task using Wikidata triple completion. …
Knowledge Base ConstructionLanguage ModelingLanguage ModellingA Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Automatic radiology report generation can alleviate the workload for physicians and minimize regional disparities in medical resources, therefore becoming an important topic in the medical image analysis field. It is a c…
Contrastive LearningKnowledge Base ConstructionMedical Image AnalysisSurveyCRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
Retrieval-Augmented Generation (RAG) is a technique that enhances the capabilities of large language models (LLMs) by incorporating external knowledge sources. This method addresses common LLM limitations, including outd…
Knowledge Base ConstructionQuestion AnsweringRAGRetrieval+1MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction
Material science literature is a rich source of factual information about various categories of entities (like materials and compositions) and various relations between these entities, such as conductivity, voltage, etc.…
ArticlesDecoderKnowledge Base ConstructionRelation+2Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications
Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field demonstrating significant potential in creating diverse contents intelligently and automatically. To support such artificial intelligence…
Autonomous DrivingKnowledge Base ConstructionManagementSemantic CommunicationDeep Learning-Empowered Semantic Communication Systems with a Shared Knowledge Base
Deep learning-empowered semantic communication is regarded as a promising candidate for future 6G networks. Although existing semantic communication systems have achieved superior performance compared to traditional meth…
Knowledge Base ConstructionSemantic CommunicationSentenceSentence SimilarityExpanding the Vocabulary of BERT for Knowledge Base Construction
Knowledge base construction entails acquiring structured information to create a knowledge base of factual and relational data, facilitating question answering, information retrieval, and semantic understanding. The chal…
Knowledge Base ConstructionKnowledge Base PopulationLanguage ModelingLanguage Modelling+3Knowledge Base Aware Semantic Communication in Vehicular Networks
Semantic communication (SemCom) has recently been considered a promising solution for the inevitable crisis of scarce communication resources. This trend stimulates us to explore the potential of applying SemCom to vehic…
Knowledge Base ConstructionSemantic CommunicationNeuro-Symbolic RDF and Description Logic Reasoners: The State-Of-The-Art and Challenges
Ontologies are used in various domains, with RDF and OWL being prominent standards for ontology development. RDF is favored for its simplicity and flexibility, while OWL enables detailed domain knowledge representation. …
Knowledge Base ConstructionxURLLC-Aware Service Provisioning in Vehicular Networks: A Semantic Communication Perspective
Semantic communication (SemCom), as an emerging paradigm focusing on meaning delivery, has recently been considered a promising solution for the inevitable crisis of scarce communication resources. This trend stimulates …
Knowledge Base ConstructionSemantic CommunicationImPaKT: A Dataset for Open-Schema Knowledge Base Construction
Large language models have ushered in a golden age of semantic parsing. The seq2seq paradigm allows for open-schema and abstractive attribute and relation extraction given only small amounts of finetuning data. Language …
AttributeKnowledge Base ConstructionLanguage ModelingLanguage Modelling+3MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base
The ability to understand and generate similes is an imperative step to realize human-level AI. However, there is still a considerable gap between machine intelligence and human cognition in similes, since deep models ba…
Knowledge Base ConstructionKnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction
Constructing a comprehensive, accurate, and useful scientific knowledge base is crucial for human researchers synthesizing scientific knowledge and for enabling Al-driven scientific discovery. However, the current proces…
Knowledge Base Constructionscientific discoveryRussian Web Tables: A Public Corpus of Web Tables for Russian Language Based on Wikipedia
Corpora that contain tabular data such as WebTables are a vital resource for the academic community. Essentially, they are the backbone of any modern research in information management. They are used for various tasks of…
Knowledge Base ConstructionManagementQuestion AnsweringLabel-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents
Extracting structured information from HTML documents is a long-studied problem with a broad range of applications, including knowledge base construction, faceted search, and personalized recommendation. Prior works rely…
AttributeAttribute ExtractionKnowledge Base ConstructionTask-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models
We present a system for knowledge graph population with Language Models, evaluated on the Knowledge Base Construction from Pre-trained Language Models (LM-KBC) challenge at ISWC 2022. Our system involves task-specific pr…
Knowledge Base ConstructionRetrieval