Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

Citation analysis does not tell the whole story about the innovativeness of scientific papers.
Works by prominent authors tend to receive disproportionately many citations, while …

The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …

Document date is essential for many important tasks, such as document retrieval,
summarization, event detection, etc. While existing approaches for these tasks assume …

Many corpora span broad periods of time. Language processing models trained during one
time period may not work well in future time periods, and the best model may depend on …

Time is an important aspect of documents and is used in a range of NLP and IR tasks. In this
work, we investigate methods for incorporating temporal information during pre-training to …

Recently, many historical texts have become digitized and made accessible for search and
browsing. Professionals who work with collections of such texts often need to verify the …

Knowledge graphs are structured representations of facts in a graph, where nodes represent
entities and edges represent relationships between them. Recent research has resulted in …

Time is an important aspect of text documents. While some documents are atemporal, many
have strong temporal characteristics and contain contents related to time. Such documents …

Knowledge of the creation date of documents facilitates several tasks such as
summarization, event extraction, temporally focused information extraction etc …