Hello Ziko, Thanks for your mail! I responded inline below.
On 6 April 2018 at 03:04, Ziko van Dijk <zvand...@gmail.com> wrote: > Hello, > > A most interesting thread, as it touches the topic from different angles. I > agree that it needs actually a study among readers about their preferences. > As I mentioned to Leila, the ESWC paper does work with editors, but I agree, more thought and work should be done on actual Wikipedia readers. > > Personally, I may have some doubt whether it improves an ArticlePlaceholder > to create sentences from the data (as they did in the geographical > "articles" created by bots). The data itself is most suitable for > databases, to be looked up in a table. Reading "Berlin has 3,500,000 > million inhabitants" is not really an improvement compared to "Berlin / > inhabitants: 3,500,000". > > Sentences have the most power when they combine information to knowledge, > like in "Berlin's population, currently 3,500,000, has been much different > during the Cold War because of the declining attractiveness for > businesses". > > In general, I would advise against one-sentence-summaries; a reader might > be disappointed when he comes via Google to a website and then only finds > one sentence. > Just to clarify: the summaries do generate information from multiple triples. Basically means, the sentences are a bit more complex than just verbalizing one triple per sentence. However, even with a neural network, there is a limit to how much context we can produce for each sentence. Therefore, we integrated the question of how editors work with the data, as we see it an important aspect of the workflow. Basically, ArticlePlaceholder can be a better option than no information at all, but still the ideal would be an actual editor picking up a topic and writing and maintaining a full article. Furthermore, in our current (theoretical) design we still keep all the information available from Wikidata in forms of triples. Therefore, we don't replace any information, we just add a sentence that's more reader friendly and gives a first overview, before looking at pure triples. > > (I hope I understood the question well; I cannot follow the math in your > article. Is there anywhere an example of your "summaries" to read?) > The summaries are learned from the first sentence of Wikipedia, therefore they contain the same kind of structure and content. If you're able to read Arabic or Esperanto, generated sentences can be found here: https://github.com/pvougiou/Mind-the-Language-Gap/tree/master/Results/Our%20Model Cheers, Lucie > > > > > > > 2018-04-05 22:50 GMT+02:00 Leila Zia <le...@wikimedia.org>: > > > Hi Lucie-Aimée, > > > > Nice to see work in this direction is progressing. Some comments in-line. > > > > On Wed, Apr 4, 2018 at 7:49 AM, Lucie-Aimée Kaffee <kaf...@soton.ac.uk> > > wrote: > > > > > > Therefore, we worked on producing sentences from the information on > > > Wikidata in the given language. We trained a neural network model, the > > > details can be found in the preprint of the NAACL paper here: > > > https://arxiv.org/abs/1803.07116 > > > > It would be good to do human (both readers and editors, and perhaps > > both sets) evaluations for this research, too, to better understand > > how well the model is doing from the perspective of the experienced > > editors in some of the smaller languages as well as their readers. (I > > acknowledge that finding experienced editors when you go to small > > languages can become hard.) > > > > > Furthermore, we would love to hear your input: Do you believe, one > > sentence > > > summaries are enough, can we serve the communities needs better with > more > > > than one sentence? > > > > This is a hard question to answer. :) The answer may rely on many > > factors including the language you want to implement such a system in > > and the expectation the users of the language have in terms of online > > content available to them in their language. > > > > > Is this still true if longer abstracts would be of lower > > > text quality? > > > > same as above. You are signing yourself up for more experiments. ;) > > > > I would be interested to know: > > * What is the perception of the readers of a given language about > > Wikipedia if a lot of articles that they go to in their language have > > one sentence (to a good extent accurate), a few sentences but with > > some errors, more sentences with more errors, versus not finding the > > article they're interested in at all? > > * Related to the above: what is the error threshold beyond which the > > brand perceptions will turn negative (to be defined: may be by > > measuring if the user returns in the coming week or month.)? This may > > well be different in different languages and cultures. > > * Depending on the result of the above, we may want to look at > > offering the user the option to access that information, but outside > > of Wikipedia, or inside Wikipedia but very clearly labeled as Machine > > Generated as you do to some extent in these projects. > > > > > What other interesting use cases for such a technology in the > > > Wikimedia world can you imagine? > > > > The technology itself can have a variety of use-cases, including > > providing captions or summaries of photos even without layers of image > > processing applied to them. > > > > Best, > > Leila > > > > > [1] https://www.mediawiki.org/wiki/Extension:ArticlePlaceholder and > > > https://commons.wikimedia.org/wiki/File:Generating_Article_ > > Placeholders_from_Wikidata_for_Wikipedia_-_Increasing_ > > Access_to_Free_and_Open_Knowledge.pdf > > > [2] > > > https://eprints.soton.ac.uk/413433/1/Open_Sym_Short_Paper_ > > Wikidata_Multilingual.pdf > > > > > > -- > > > Lucie-Aimée Kaffee > > > Web and Internet Science Group > > > School of Electronics and Computer Science > > > University of Southampton > > > _______________________________________________ > > > Wiki-research-l mailing list > > > Wiki-research-l@lists.wikimedia.org > > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > > > > _______________________________________________ > > Wiki-research-l mailing list > > Wiki-research-l@lists.wikimedia.org > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > > > _______________________________________________ > Wiki-research-l mailing list > Wiki-research-l@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > -- Lucie-Aimée Kaffee Web and Internet Science Group School of Electronics and Computer Science University of Southampton _______________________________________________ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
