Notes on Modular News
A completely incomplete list of links & sources
bbc
Beyond 800 Words: News Formats for Personalising and Understanding - BBC R&D
Stories - BBC R&D
Story Explorer - BBC R&D
Mobile-First News for Young People - Our Findings from Newsbeat Explains - BBC R&D
Internet Research and Future Services - BBC R&D
BBC R&D at IBC 2014 - Object-Based Audio - BBC R&D
BBC - Ontologies - Storyline Ontology
BBC - Ontologies - Home
https://www.bbc.co.uk/ontologies/storyline/0.3.ttl
BBC - Ontologies - Core Concepts Ontology
bbc labs
Atomised News - with BBC R&D | BBC News Labs
The Juicer | BBC News Labs
Salco - Semi-Automated Local Content | BBC News Labs
Journalism innovation in the 2020s | BBC News Labs
News Storyline | BBC News Labs
Structured Journalism | BBC News Labs
Implementing the Storyline Ontology in BBC News
Storyline - for #newsHACK 2013 - Jeremy Tarling
text generation
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence
OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python
projects
Structured Stories - A Quick Demo - YouTube
SUMMA - Scalable Understanding of Multilingual MediA | BBC News Labs
SUMMA Release as Open Source - HomePage
summa-platform · GitHub
newsreader-project
paper
Structured Journalism and the Semantic Units of News
(PDF) Transitions in Journalism-Toward a Semantic-Oriented Technological Framework
Building event-centric knowledge graphs from news | Request PDF
(PDF) Quantitative analysis of large amounts of journalistic texts using topic modelling
(PDF) Media Meets Semantic Web – How the BBC Uses DBpedia and Linked Data to Make Connections
ISWC.dvi
SWCASE_NEWS.dvi
A YOLO-Based Table Detection Method - IEEE Conference Publication
The Storyline Annotation and Representation Scheme (StaR): A Proposal
NewsReader: Using knowledge resources in a cross-lingual reading machine to generate more knowledge from massive streams of news
image classification
Deep Learning for Image Recognition: why it’s challenging, where we’ve been, and what’s next
How Future AI Could Recognize a Kangaroo Without Ever Having Seen One
topic modelling
Topic Modeling with BERT. | Towards Data Science
GitHub - MaartenGr/BERTopic: Leveraging BERT and a class-based TF-IDF to create easily interpretable topics.
audio/speech annotation
Top 15 Video and Audio Transcription Tools for Data Annotation
Audio Annotation Services for Speech, Sound and NLP in Machine Learning
miscellaneous
Open AI GPT-2 Tutorial | AI Text Generator - YouTube
RDF Triples extraction from text ?
JoIE - Journalistic Information Extraction | Information Retrieval Research Group at TH Köln
GitHub - holms-ur/fine-tuning: Close-Domain fine-tuning for table detection
Medienmäzen Google: News Showcase ist Googles strategische Meisterleistung
coveredBy and createdBy. using linked data for editorial… | by Jeremy Tarling | Medium
RDF Triple Stores vs. Labeled Property Graphs: What’s the Difference?
Neo4j Labs / Neosemantics
JournalismAI