Results 11 to 20 of about 10,137,853 (317)
Methodology for Automatic Ontology Generation Using Database Schema Information [PDF]
An ontology is a model language that supports the functions to integrate conceptually distributed domain knowledge and infer relationships among the concepts. Ontologies are developed based on the target domain knowledge.
JungHyen An, Young B. Park
openalex +2 more sources
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing [PDF]
The importance of building text-to-SQL parsers which can be applied to new databases has long been acknowledged, and a critical step to achieve this goal is schema linking, i.e., properly recognizing mentions of unseen columns or tables when generating ...
Lihan Wang +9 more
semanticscholar +1 more source
Stress leads to aberrant hippocampal involvement when processing schema-related information [PDF]
Prior knowledge, represented as a mental schema, has critical impact on how we organize, interpret, and process incoming information. Recent findings indicate that the use of an existing schema is coordinated by the medial prefrontal cortex (mPFC ...
Susanne Vogel +3 more
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Abstrak Perkembangan teknologi yang semakin pesat dan semakin mempermudah pekerjaan manusia. Setiap tahunnya teknologi baru bermunculan dengan menawarkan fitur serta fungsionalitas yang lebih kompleks dan lebih canggih dari teknologi serupa yang ...
D. Prasetyo
semanticscholar +1 more source
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification [PDF]
Event schemas are a form of world knowledge about the typical progression of events. Recent methods for event schema induction use information extraction systems to construct a large number of event graph instances from documents, and then learn to ...
Sha Li +6 more
semanticscholar +1 more source
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph [PDF]
The generalizability to new databases is of vital importance to Text-to-SQL systems which aim to parse human utterances into SQL statements. Existing works achieve this goal by leveraging the exact matching method to identify the lexical matching between
Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
semanticscholar +1 more source
Network Schema Preserving Heterogeneous Information Network Embedding
As heterogeneous networks have become increasingly ubiquitous, Heterogeneous Information Network (HIN) embedding, aiming to project nodes into a low-dimensional space while preserving the heterogeneous structure, has drawn increasing attention in recent ...
Jianan Zhao +4 more
semanticscholar +1 more source
Unified Structure Generation for Universal Information Extraction [PDF]
Information extraction suffers from its varying targets, heterogeneous structures, and demand-specific schemas. In this paper, we propose a unified text-to-structure generation framework, namely UIE, which can universally model different IE tasks ...
Yaojie Lu +7 more
semanticscholar +1 more source
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking [PDF]
Existing dialog state tracking (DST) models are trained with dialog data in a random order, neglecting rich structural information in a dataset. In this paper, we propose to use curriculum learning (CL) to better leverage both the curriculum structure ...
Yinpei Dai +6 more
semanticscholar +1 more source
Background Conceptual knowledge frameworks termed schemas facilitate memory formation and are posited to support flexible behavior. In adults, the medial temporal lobe (MTL) and medial prefrontal cortex (mPFC) trade-off in supporting schema-based memory ...
Kevin M. Cook +8 more
doaj +1 more source

