Research Interests

My primary focus is on Knowledge Graph Summarization, utilizing both extractive and abstractive approaches, as well as Natural Language Processing. Nevertheless, I am open to collaboration in the following areas:

• Tasks related to knowledge graph construction, such as information extraction (named entity recognition, entity linking)
• Knowledge graph reasoning tasks, including link prediction and missing triple prediction
• Link specification and verbalization
• Working with language models, such as few-shot learning and fine-tuning

For more details regarding my work, you can also visit my GitHub at https://github.com/asep-fajar-firmansyah