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Francesco Osborne

6 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Combining NLP And Semantics For Mining Software Technologies From Research Publications

    2016

    The natural language processing (NLP) community has developed a variety of methods for extracting and disambiguating information from research publications. However, they usually focus only on standard research entities such as authors, affiliations, venues, references …

  2. Classifying Research Papers with the Computer Science Ontology

    2018 · Open Research Online - ORO (The Open University)

    Ontologies of research areas are important tools for characterising, exploring and analysing the research landscape. We recently released the Computer Science Ontology (CSO), a large-scale, automatically generated ontology of research areas, which includes about 26K …

  3. The AIDA Dashboard: Analysing Conferences with Semantic Technologies.

    2020 · Open Research Online (The Open University)

    Scientific conferences play a crucial role in the field of Computer Science by promoting the cross-pollination of ideas and technologies, fostering new collaborations, shaping scientific communities, and connecting research efforts from academia and industry. However, …

  4. Dataset of Reducing the Effort for Systematic Reviews in Software Engineering

    2019 · Figshare

    Reducing the Effort for Systematic Reviews in Software Engineering <strong>Background.</strong> Systematic Reviews (SRs) are means to collect and synthesize evidence from the identification, analysis and interpretation of multiple sources, or primary studies. To this aim, …

  5. Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies

    2024 · Information

    Online platforms have become the primary means for travellers to search, compare, and book accommodations for their trips. Consequently, online platforms and revenue managers must acquire a comprehensive comprehension of these dynamics to formulate a …

  6. Exploring Large Language Models for Scientific Question Answering via Natural Language to SPARQL Translation

    2025 · ACM Transactions on Intelligent Systems and Technology

    Translating scientific questions expressed in natural language into SPARQL queries that can be executed over knowledge graphs remains a significant challenge in the field of question answering. Recently, several prominent benchmarks, notably SciQA and DBLP-QuAD, …