In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

Abstract Knowledge graphs, representation of information as a semantic graph, have
caused wide concern in both industrial and academic world. Their property of providing …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

This article introduces an exploratory computational approach to extending the realm of
automated journalism from simple descriptions to richer and more complex event-driven …

Query-based open-domain NLP tasks require information synthesis from long and diverse
web results. Current approaches extractively select portions of web text as input to …

Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …

One of the key requirements to facilitate semantic analytics of information regarding
contemporary and historical events on the Web, in the news and in social media is the …

ICT platforms for news production, distribution, and consumption must exploit the ever-
growing availability of digital data. These data originate from different sources and in …

This paper reports on the Event StoryLine Corpus (ESC) v1. 0, a new benchmark dataset for
the temporal and causal relation detection. By developing this dataset, we also introduce a …