Results 41 to 50 of about 3,669,285 (309)
StructGPT: A General Framework for Large Language Model to Reason over Structured Data [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 In this paper, we study how to improve the zero-shot reasoning ability of large language models~(LLMs) over structured data in a unified way. Inspired by the study on tool augmentation for LLMs, we develop an \emph{Iterative Reading-then-Reasoning~(IRR)}
Jinhao Jiang +5 more
semanticscholar +1 more source
Dissecting Recall of Factual Associations in Auto-Regressive Language Models [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Transformer-based language models (LMs) are known to capture factual knowledge in their parameters. While previous work looked into where factual associations are stored, only little is known about how they are retrieved internally during inference.
Mor Geva +3 more
semanticscholar +1 more source
Computer Networks, 1999 Abstract An important application of XML is the interchange of electronic data (EDI) between multiple data sources on the Web. As XML data proliferates on the Web, applications will need to integrate and aggregate data from multiple source and clean and transform data to facilitate exchange.
Alin Deutsch +4 more
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Intelligent Search Engine Tool for Querying Database Systems [PDF]
International Journal of Mathematical, Engineering and Management SciencesThe amount of data being produced and used every day is increasing rapidly. Different operations are performed on the data that is stored in database systems to generate meaningful information.
Gagandeep Kaur +3 more
doaj +1 more source
Problematic Unordered Queries in Temporal Moment Measurement by Using Natural Language
IEEE Access, 2023 This study examines the difficulty in measuring temporal moments by using natural language (TMMNL) in the untrimmed video. The purpose of TMMNL is to use natural language query to find a specific moment within a lengthy video.
Hafiza Sadia Nawaz, Junyu Dong
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Local properties of query languages [PDF]
Theoretical Computer Science, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guozhu Dong, Leonid Libkin, Limsoon Wong
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Rancang Bangun Plugin Protégé Menggunakan Ekspresi SPARQL-DL Dengan Masukan Bahasa Alami
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2017 Semantic web is a technology that allows us to build a knowledge base or ontology for the information of the web page can be understood by computers. One software for building ontology-based semantic web is a protégé. Protege allows developers to develop
Muhammad Fahrurrozi, Azhari SN
doaj +1 more source
Language Models as Knowledge Bases? [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Recent progress in pretraining language models on large textual corpora led to a surge of improvements for downstream NLP tasks. Whilst learning linguistic knowledge, these models may also be storing relational knowledge present in the training data, and
F. Petroni +6 more
semanticscholar +1 more source
Constraint Databases, Queries, and Query Languages [PDF]
, 2000 We formally define the constraint database model, the concept of query in this model, and the basic constraint query languages provided by the relational calculus, the relational algebra, and DATALOG. We show how a computationally complete constraint query language can be obtained by augmenting the constraint relational calculus with basic programming ...
openaire +3 more sources
Query Expansion for Effective Retrieval Results of Hindi–English Cross-Lingual IR
Applied Artificial Intelligence, 2019 Information retrieval (IR) is the science of identifying documents or sub-documents from a collection of information or database. The collection of information does not necessarily be available in only one language as information does not depend on ...
Ganesh Chandra, Sanjay K. Dwivedi
doaj +1 more source