1. Articles from reddit

    reddit.com

  2. 1-9 of 9
    1. Sequence prediction: comparison between Hidden Markov Models and Maximum Entropy Markov Models : LanguageTechnology

      Sequence prediction: comparison between Hidden Markov Models and Maximum Entropy Markov Models : LanguageTechnology

      17 users here now A community for discussion and news related to the Natural Language Processing (NLP) . Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora. Information & Resources

      Read Full Article
    2. 4 Approaches To Natural Language Processing & Understanding - Topbots : datascience

      4 Approaches To Natural Language Processing & Understanding - Topbots : datascience

      Anything you think is worthy of discussion No Listicles (N free videos, Y free book, Z free courses, etc...) No "Best of" posts that are just lists - rather than show a list, contribute a post that describes your top choice Remember the reddit self-promotion rule of thumb: ""For every 1 time you post self-promotional content, 9 other posts (submissions or comments) should not contain self-promotional content.""

      Read Full Article
    3. Picking out discinctive words after getting data clusters : datascience

      Picking out discinctive words after getting data clusters : datascience

      by NTGuardian I don't know much about natural language processing, I have Natural Language Processing with Python (by Bird et al) on my near reading list, but I've run into a situation that's really interesting so I'd like a brief sense of direction of where to go. I have a data set with features and a text string of widely varying length (sometimes a couple words, sometimes a paragraph, one even a few paragraphs) for each data point.

      Read Full Article
    4. [R] [1606.01404] Generating Natural Language Inference Chains : MachineLearning

      [R] [1606.01404] Generating Natural Language Inference Chains : MachineLearning

      Authors: Vladyslav Kolesnyk , Tim Rocktäschel , Sebastian Riedel Abstract: The ability to reason with natural language is a fundamental prerequisite for many NLP tasks such as information extraction, machine translation and question answering. To quantify this ability, systems are commonly tested whether they can recognize textual entailment, i.e., whether one sentence can be inferred from another one.

      Read Full Article
    5. Would anyone be interested in a Unity plugin that does Natural Language Processing? : virtualreality

      Would anyone be interested in a Unity plugin that does Natural Language Processing? : virtualreality

      Welcome to r/virtualreality ! We are a common ground for discussion relating to Virtual Reality and Virtual Worlds. Discussion relating to any and all facets of virtual reality is encouraged. This includes personal projects, so feel free to share what you're up to! The VR wikipedia article is a great place to begin learning. Please review our Submission Guidelines before posting! Latest News

      Read Full Article
    1-9 of 9
  1. Categories

    1. Default:

      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD