digital library– tax –

NIED: A Corpus for Numeric Information Extraction from Dataset Descriptions Abstract: Although a large number of machine learning datasets have been proposed, their descriptions are often insufficiently structured, making it difficult to search datasets using quantitative criteria. To address this issue, we construc...

Investigating Industry–Academia Collaboration in Artificial Intelligence: PDF-Based Bibliometric Analysis from Leading Conferences Abstract: To investigate trends in industry–academia collaboration within the field of artificial intelligence (AI), we conducted a bibliometric analysis of papers presented at...

SolutionTailor: Scientific paper recommendation based on fine-grained abstract analysis Abstract: 　We developed a recommendation system that identifies papers proposing different solutions while sharing the same research objective. The system requires users to specify only the target research field and the abstract...

TrendNets: Mapping Emerging Research Trends from Dynamic Co-Word Networks via Sparse Representations Abstract: Visualizing word co-occurrence information extracted from academic texts of journals or proceedings papers is a widely used approach for understanding research trends within a scientific domain. In this stu...