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I would really like a bot that could summarize topics for me then drill down into specifics based on questions I had. Even if it was all just from the Wikipedia

I would really like a bot that could summarize topics for me then drill down into specifics based on questions I had. Even if it was all just from the Wikipedia page. This would be so nice to triage information while driving.

dekhn 7y ago
i've thought of this many times. "Wikibot, tell me more about bridges of the 19th century." <blah blah summary> "Stop. Tell me more the Ponte delle Catene, Bagni di Lucca bridge" <blah blah details>
- sansnomme 7y ago
  Like most things in ML, the technological exists and theoretically works, but ymmv in production.
- FabHK 7y ago
  Even simpler, I wanted my iPhone to read a wikipage out loud to me while I was walking home in the cold, and I was surprised that I couldn't figure it out - you can switch on the screen reader in accessibility, but it stopped reading after half a paragraph. Very annoying.
windyaskew 7y ago
Actually just ran into this [1] today. Not production ready, but you could hack something together with it. It was even trained on Wikipedia articles. [1]: https://rajpurkar.github.io/SQuAD-explorer/ https://rajpurkar.github.io/SQuAD-explorer/
nl 7y ago
There's active work on this (although in two separate strands of research). The first is multi-document summarization. Back in 2018 Google published Generating Wikipedia by Summarizing Long Sequences[1] which did a great job of combining multiple pages into a single Wikipedia-like document. Models have strengthened a lot since then so it should be possible to do better, but I haven't seen any work. There's also a bunch of work on summarization of a single document into a few sentences. The second piece of research work is Question Answering. There are multiple directions for that, but looking at recent work on the SQUAD 2.0 leaderboard should give you a good idea of what is possible[2]. Basically, combining these systems should work quite well a lot of the time. [1] https://arxiv.org/abs/1801.10198 https://arxiv.org/abs/1801.10198 [2] https://rajpurkar.github.io/SQuAD-explorer/ https://rajpurkar.github.io/SQuAD-explorer/

dekhn 7y ago

i've thought of this many times. "Wikibot, tell me more about bridges of the 19th century." <blah blah summary> "Stop. Tell me more the Ponte delle Catene, Bagni di Lucca bridge" <blah blah details>

sansnomme 7y ago
Like most things in ML, the technological exists and theoretically works, but ymmv in production.
FabHK 7y ago
Even simpler, I wanted my iPhone to read a wikipage out loud to me while I was walking home in the cold, and I was surprised that I couldn't figure it out - you can switch on the screen reader in accessibility, but it stopped reading after half a paragraph. Very annoying.

windyaskew 7y ago

Actually just ran into this [1] today. Not production ready, but you could hack something together with it. It was even trained on Wikipedia articles. [1]: https://rajpurkar.github.io/SQuAD-explorer/ https://rajpurkar.github.io/SQuAD-explorer/

nl 7y ago

There's active work on this (although in two separate strands of research). The first is multi-document summarization. Back in 2018 Google published Generating Wikipedia by Summarizing Long Sequences[1] which did a great job of combining multiple pages into a single Wikipedia-like document. Models have strengthened a lot since then so it should be possible to do better, but I haven't seen any work. There's also a bunch of work on summarization of a single document into a few sentences. The second piece of research work is Question Answering. There are multiple directions for that, but looking at recent work on the SQUAD 2.0 leaderboard should give you a good idea of what is possible[2]. Basically, combining these systems should work quite well a lot of the time. [1] https://arxiv.org/abs/1801.10198 https://arxiv.org/abs/1801.10198 [2] https://rajpurkar.github.io/SQuAD-explorer/ https://rajpurkar.github.io/SQuAD-explorer/