Hi all
We are researchers from the dlab at EPFL working with Bob West.
We have plans to build a graph-based ML algorithm, which will further facilitate
development of a tool to assist Wikipedia editors by providing recommendations on two
novel use-cases. One consists of suggesting hyperlinks (Wikipedia articles) to be inserted
within a section of an article. Note that this is different from "classical link
prediction".
We feel the tool could be of great value, as it can work with newly created sections that
do not have any content yet. What's more, the editor can type *any* section name
(either non-existent in that article or even in the whole Wiki project) and the tool would
have the power to suggest hyperlinks that are likely to be of interest for that section in
the article. We think that (specially) stub articles can benefit from this tool.
However, we have one assumption. In addition to the section name, the editor must provide
the "entity type" (Place, People, Date, Organization...) of the Wikipedia
articles she would like to insert in the section. The reason is that within a section you
can find links to articles of diverse types.
The reason we are reaching out to you is two fold:
(1) To check whether such a tool would be of interest and likely to be used by the
editors.
(2) How limiting is the assumption that the editor needs to specify the entity type of the
Wikipedia articles for which she needs recommendations from the tool?
One one hand, some of us think this is not a problem as the number of entity types is
relatively small (between 10 and 20) and they can be easily and visually presented to the
editor with a dropdown list. On the other side, others think this requirement is
limiting.
We would like to know your opinion to decide whether we should move forward with this
project.
Thanks!
dlab