    "The best parse-tree visualizer and annotation tool in all the land.",
    275
  )
  
  p #[a(href="https://api.spacy.io/displacy") displaCy] lets you peek inside spaCy's syntactic parser, as it reads a sentence word-by-word. By repeatedly choosing from a small set of actions, it links the words together according to their syntactic structure. This type of representation powers a wide range of technologies, from translation and summarization, to sentiment analysis and algorithmic trading.  #[a(href="/blog/displacy") Read more.]
  
  
 
</s> remove         p What I'm particularly excited about is the potential for displaCy as an #[a(href="https://api.spacy.io/displacy/?manual=Robots%20in%20popular%20culture%20are%20there%20to%20remind%20us%20of%20the%20awesomeness%20of%20unbounded%20human%20agency" target="_blank") annotation tool]. It may seem unintuitive at first, but I think it will be much better to annotate texts the way the parser operates, with a small set of actions and a stack, than by selecting arcs directly. Why? A few reasons:
 </s> add         p What I'm particularly excited about is the potential for displaCy as an #[a(href="https://displacy.spacy.io/displacy/?manual=Robots%20in%20popular%20culture%20are%20there%20to%20remind%20us%20of%20the%20awesomeness%20of%20unbounded%20human%20agency" target="_blank") annotation tool]. It may seem unintuitive at first, but I think it will be much better to annotate texts the way the parser operates, with a small set of actions and a stack, than by selecting arcs directly. Why? A few reasons: </s> remove     p I've been living and breathing similar representations for most of my career. But there's always been a problem: talking about these things is tough. Most people haven't thought much about grammatical structure, and the idea of them is inherently abstract.  When I left academia to write #[a(href="https://spacy.io") spaCy], I knew I wanted a good visualizer. Unfortunately, I also knew I'd never be the one to write it. I'm deeply graphically challenged. Fortunately, when working with #[a(href="http://ines.io") Ines] to build this site, she really nailed the problem, with a solution I'd never have thought of. I really love the result, which we're calling #[a(href="https://api.spacy.io/displacy") displaCy]:
 </s> add     p I've been living and breathing similar representations for most of my career. But there's always been a problem: talking about these things is tough. Most people haven't thought much about grammatical structure, and the idea of them is inherently abstract.  When I left academia to write #[a(href="https://spacy.io") spaCy], I knew I wanted a good visualizer. Unfortunately, I also knew I'd never be the one to write it. I'm deeply graphically challenged. Fortunately, when working with #[a(href="http://ines.io") Ines] to build this site, she really nailed the problem, with a solution I'd never have thought of. I really love the result, which we're calling #[a(href="https://displacy.spacy.io/displacy") displaCy]: </s> remove Lets take the example sentence on https://api.spacy.io/displacy/index.html
 </s> add Lets take the example sentence on https://displacy.spacy.io/displacy/index.html </s> remove   - var url = "https://api.spacy.io/displacy/?full=" + sentence.replace(/\s+/g, "%20")
 </s> add   - var url = "https://displacy.spacy.io/displacy/?full=" + sentence.replace(/\s+/g, "%20") </s> remove                 li: a(href="https://api.spacy.io/displacy", target="_blank") Demo
 </s> add                 li: a(href="https://displacy.spacy.io/displacy", target="_blank") Demo
p #[a(href="https://displacy.spacy.io/displacy") displaCy] lets you peek inside spaCy's syntactic parser, as it reads a sentence word-by-word. By repeatedly choosing from a small set of actions, it links the words together according to their syntactic structure. This type of representation powers a wide range of technologies, from translation and summarization, to sentiment analysis and algorithmic trading.  #[a(href="/blog/displacy") Read more.]
    "The best parse-tree visualizer and annotation tool in all the land.",
    275
  )
  
p #[a(href="https://displacy.spacy.io/displacy") displaCy] lets you peek inside spaCy's syntactic parser, as it reads a sentence word-by-word. By repeatedly choosing from a small set of actions, it links the words together according to their syntactic structure. This type of representation powers a wide range of technologies, from translation and summarization, to sentiment analysis and algorithmic trading.  #[a(href="/blog/displacy") Read more.]
  
  
keep keep keep keep replace keep keep
 move displacy to its own subdomain 
website/src/jade/home/_online_demo.jade