Narratives are fundamental to our understanding of the world, providing us with a natural
structure for knowledge representation over time. Computational narrative extraction is a …

Abstract The task of Question Answering (QA) has attracted significant research interest for a
long time. Its relevance to language understanding and knowledge retrieval tasks, along …

The problem of Question Answering (QA) has attracted significant research interest for long.
Its relevance to language understanding and knowledge retrieval tasks, along with the …

Timeline summarization (TLS) is essential for distilling coherent narratives from a vast
collection of texts, tracing the progression of events and topics over time. Prior research …

Automatic summarization is attracting increasing attention as one of the most promising
research areas. This technology has been tried in various real-world applications in recent …

Narrative sensemaking is an essential part of understanding sequential data. Narrative
maps are a visual representation model that can assist analysts to understand narratives. In …

Timeline summarization is the task of automatically generating concise overviews of
documents that capture the key events and their progression on timelines. While this …

Real world events are quite often mentioned in texts. Estimating the occurrence time of event
mentions has many applications in IR, QA, general document understanding and …

In this paper, we present a novel problem, namely video timeline modeling. Our objective is
to create a video-associated timeline from a set of videos related to a specific topic, thereby …

Summarizing text-rich documents has been long studied in the literature, but most of the
existing efforts have been made to summarize a static and predefined multi-document set …