Hi Everyone,
The next Wikimedia Research Showcase will be live-streamed Wednesday, July
11, 2018 at 11:30 AM (PDT) 18:30 UTC.
YouTube stream:
https://www.youtube.com/watch?v=uK7AvNKq0sg
As usual, you can join the conversation on IRC at #wikimedia-research. And,
you can watch our past research showcases here.
<https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#Upcoming_Showcase>
Hope to see you there!
This month's presentations:
Mind the (Language) Gap: Neural Generation of Multilingual Wikipedia
Summaries from Wikidata for ArticlePlaceholdersBy *Lucie-Aimée Kaffee*While
Wikipedia exists in 287 languages, its content is unevenly distributed
among them. It is therefore of the utmost social and cultural interests to
address languages for which native speakers have only access to an
impoverished Wikipedia. In this work, we investigate the generation of
summaries for Wikipedia articles in underserved languages, given structured
data as an input.
In order to address the information bias towards widely spoken languages,
we focus on an important support for such summaries: ArticlePlaceholders,
which are dynamically generated content pages in underserved Wikipedia
versions. They enable native speakers to access existing information in
Wikidata, a structured Knowledge Base (KB). Our system provides a
generative neural network architecture, which processes the triples of the
KB as they are dynamically provided by the ArticlePlaceholder, and generate
a comprehensible textual summary. This data-driven approach is tested with
the goal of understanding how well it matches the communities' needs on two
underserved languages on the Web: Arabic, a language with a big community
with disproportionate access to knowledge online, and Esperanto.
With the help of the Arabic and Esperanto Wikipedians, we conduct an
extended evaluation which exhibits not only the quality of the generated
text but also the applicability of our end-system to any underserved
Wikipedia version. Token-level change tracking: data, tools and
insightsBy *Fabian
Flöck*This talk first gives an overview of the WikiWho infrastructure,
which provides tracking of changes to single tokens (~words) in articles of
different Wikipedia language versions. It exposes APIs for accessing this
data in near-real time, and is complemented by a published static dataset.
Several insights are presented regarding provenance, partial reverts,
token-level conflict and other metrics that only become available with such
data. Lastly, the talk will cover several tools and scripts that are
already using the API and will discuss their application scenarios, such as
investigation of authorship, conflicted content and editor productivity.