TL;DR Haskell made more sense for us to scale with the number of requests (existing FB infra) as well as the number of engineers working on the project (type checking, etc).
481 karma · joined September 23, 2010
TL;DR Haskell made more sense for us to scale with the number of requests (existing FB infra) as well as the number of engineers working on the project (type checking, etc).
Also, the author is being very direct about what he thinks of Acton's behavior, he's not being passive-aggressive.
I don't know of any benchmarks. HeidelTime and SUTime are two solid projects... although the rule files [0][1] are a bit scary if you ask me :-).
Quick thoughts:
- SUTime relies on TokensRegex [2] which is similar to how Duckling parses sentences at a high-level
- SUTime seems to only provide English rules
- I don't know of any production use cases of either
[0] https://github.com/stanfordnlp/CoreNLP/tree/master/src/edu/s...
[1] https://github.com/HeidelTime/heideltime/blob/master/resourc...
We had planned to release the Bot Engine at F8 long before MSFT's announcement. If you ask me, F8 might have affected their timing more than the other way around ;-)
Today, Wit offers many advantages out-of-the-box so you don't have to setup your own solution.
As NLP gets more commoditized (e.g. through open-source, open datasets), Wit will have to provide even more value than today to stay relevant. Value can be ease of use, accuracy, etc. That's how the field makes progress.
Regarding best interest, if you mean FB's best interest, FB wants more intelligent bots in Messenger, VR, etc. It makes sense to provide the tools to do so. Opening these tools also helps make them better (why is FB open-sourcing React for example?)
If you mean the Wit team's best interest, we're always happy to provide better tools to developers and innovate in AI / UX. That's why we started Wit after all :-)
X as a service allows you to get X with a lot less efforts. It allows you to understand the problem and your needs by getting started quickly. Over time, if X as a service saved you enough time and you become successful, you can choose to develop an expertise in X and cut the dependency.
Wit is also about building a community of developers and advancing the state of the art of NLP in apps. Once the bot engine matures a bit, we'll be focusing again on the community aspect of Wit and hopefully advance the field enough so that efforts like the standardization you mentioned are started.
EDIT regarding 6pm vs 6am, applications will have control over the assumptions made by the system. See https://news.ycombinator.com/item?id=8397113
We've mostly used it on short sentences, but it should work on larger inputs, like articles. I'd recommend splitting very large inputs into sentences though.
But as a bootstrapped startup, we have to make tradeoffs as our budget is limited. We have to accept invitations gradually today to keep our servers alive. We should be able to accept everybody within a few days at most. Sorry for the inconvenience.
Working on a fix now.
After reading http://octodex.github.com/faq.html, we thought it was okay to put this image given that we advertise and reference GitHub a lot, we heavily integrate with it and we love Octocat!
Do you think we should remove it?
Thanks!
Can you email me your GitHub username at willy@wit.ai to make sure we got your request? Thanks!
EDIT: All animations (except "What we do") should be disabled. Please, email me at willy@wit.ai if you still have issues.