ann-writer

AI

text generation

SHOW HN2015

48points
27comments
#590of 2,565 in 2015
Top 24%of 2015 by points

How HN took it

RoastedHalf or more of the comments are critical

2 positive, 3 neutral or asking, 1 mixed, 13 critical, out of 19 comments about the project. Thread score -0.31.

Execution: 0 for, 7 againstPerformance: 0 for, 3 againstIdea: 1 for, 2 againstDocs: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Fun hack and good idea for matching house writing style

    From 3 comments
    • Fun hack. If anything, it highlights how compelling deep learning and RNNs are: no messing with NLP, no messing with building other features or adding up classifiers, etc. The…
      frisco on HN
    • I'd be interested to know if this could be turned into a tool that lets you know how well your writing (or coding) matches the "house style". (Mostly for technical documentation,…
      w_t_payne on HN
    • This is brilliant! I tried it out. Waiting for a larger data set! +1
      scorpwarp23 on HN

Objections

  • Not a real neural network; it uses k-nearest neighbors classifiers

    From 3 comments
    • this doesn't look like a neural net to me. from NeuralNetwork.py ``` from sklearn.neighbors import KNeighborsClassifier # Create a sperate neural network for each identifier for…
      strong_ai on HN
    • So then it seems like the author of the code doesn't understand that "NN" means "Nearest Neighbors" and not "Neural Network"? He mentions that he used sklearn's Neural Network…
      ching_wow_ka on HN
    • > I decided to use scikit's machine learning libraries. [...] The writer I create uses multiple SVM engines. One large neural network for the sentence structuring and multiple…
      achompas on HN
  • Output quality is no better than a Markov chain

    From 3 comments
    • I haven't looked at the code, but glancing at the results leaves me thinking it might need more work. The output seems to me around the level a Markov chain might produce.…
      nl on HN
    • I ran a Markov chain text generator on Finnegans Wake once. It came out looking much the same. :-)
      Turing_Machine on HN
    • Fun hack. If anything, it highlights how compelling deep learning and RNNs are: no messing with NLP, no messing with building other features or adding up classifiers, etc. The…
      frisco on HN
  • Copyright concerns over using Harry Potter text

    From 2 comments
    • Have you considered the copyright on the Harry Potter training data?
      caf on HN
    • I would still be cautious. There is no need to use exactly this text. Anyway, there are countries that don't have a fair use policy. So in this countries your repository could…
      bhaak on HN

Requests

  • Larger training dataset

    From 1 comment
    • This is brilliant! I tried it out. Waiting for a larger data set! +1
      scorpwarp23 on HN
  • Tool to measure how closely writing matches a house style, possibly as a Sublime Text plugin

    From 1 comment
    • I'd be interested to know if this could be turned into a tool that lets you know how well your writing (or coding) matches the "house style". (Mostly for technical documentation,…
      w_t_payne on HN

Questions

  • Whether the normalization procedure was sound

    From 1 comment
    • I am afraid this author has no idea what he is doing - and is loosely throwing around terms he does not understand. What the hell was his normalization procedure. Dangerous to…
      bearzoo on HN

Alternatives named

  • Karpathy's char-rnn

    From 2 comments
    • I haven't looked at the code, but glancing at the results leaves me thinking it might need more work. The output seems to me around the level a Markov chain might produce.…
      nl on HN
    • Fun hack. If anything, it highlights how compelling deep learning and RNNs are: no messing with NLP, no messing with building other features or adding up classifiers, etc. The…
      frisco on HN
  • Markov chain text generators

    From 2 comments
    • I ran a Markov chain text generator on Finnegans Wake once. It came out looking much the same. :-)
      Turing_Machine on HN
    • I just can't agree that a simple, linear-time operation like "tokenizing words and basic n-gram models out of them" is a tedious problem like you seem to be implying, nor do I…
      kylebgorman on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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