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  1. No Access

    Chapter and Conference Paper

    ESLM: Improving Entity Summarization by Leveraging Language Models

    Entity summarizers for knowledge graphs are crucial in various applications. Achieving high performance on the task of entity summarization is hence critical for many applications based on knowledge graphs. Th...

    Asep Fajar Firmansyah, Diego Moussallem, Axel-Cyrille Ngonga Ngomo in The Semantic Web (2024)

  2. No Access

    Chapter and Conference Paper

    IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran

    Indonesian is classified as underrepresented in the Natural Language Processing (NLP) field, despite being the tenth most spoken language in the world with 198 million speakers. The paucity of datasets is reco...

    Ria Hari Gusmita, Asep Fajar Firmansyah… in Natural Language Processing and Informatio… (2023)

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    Chapter and Conference Paper

    Explainable Integration of Knowledge Graphs Using Large Language Models

    Linked knowledge graphs build the backbone of many data-driven applications such as search engines, conversational agents and e-commerce solutions. Declarative link discovery frameworks use complex link specif...

    Abdullah Fathi Ahmed, Asep Fajar Firmansyah… in Natural Language Processing and Informatio… (2023)