Knowledge graphs
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 …
recently garnered significant attention from both industry and academia in scenarios that …
[HTML][HTML] Natural language processing: state of the art, current trends and challenges
Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …
analyzing human language computationally. It has spread its applications in various fields …
A survey on application of knowledge graph
X Zou - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Abstract Knowledge graphs, representation of information as a semantic graph, have
caused wide concern in both industrial and academic world. Their property of providing …
caused wide concern in both industrial and academic world. Their property of providing …
Automated Journalism 2.0: Event-driven narratives: From simple descriptions to real stories
D Caswell, K Dörr - Journalism practice, 2018 - Taylor & Francis
This article introduces an exploratory computational approach to extending the realm of
automated journalism from simple descriptions to richer and more complex event-driven …
automated journalism from simple descriptions to richer and more complex event-driven …
Using local knowledge graph construction to scale seq2seq models to multi-document inputs
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 …
web results. Current approaches extractively select portions of web text as input to …
What is event knowledge graph: A survey
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 …
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …
Eventkg: A multilingual event-centric temporal knowledge graph
S Gottschalk, E Demidova - … , ESWC 2018, Heraklion, Crete, Greece, June …, 2018 - Springer
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 …
contemporary and historical events on the Web, in the news and in social media is the …
Semantic knowledge graphs for the news: A review
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 …
growing availability of digital data. These data originate from different sources and in …
The event storyline corpus: A new benchmark for causal and temporal relation extraction
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 …
the temporal and causal relation detection. By developing this dataset, we also introduce a …