StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

POHow do I approach this named-entity classification task?
text
Body
copied!<p>I am asking a related question <a href="https://stackoverflow.com/questions/8219772/how-do-i-form-a-feature-vector-for-a-classifier-targeted-at-named-entity-recogni">here</a> but this question is more general. I have taken a large corpora and annotated some words with their named-entities. In my case, they are domain-specific and I call them: Entity, Action, Incident. I want to use these as a seed for extracting more named-entities. For example, following is one sentence:</p> <blockquote> <p>When the robot had a technical glitch, the object was thrown but was later caught by another robot.</p> </blockquote> <p>is tagged as:</p> <blockquote> <p>When the <strong>(robot)/Entity</strong> had a <strong>(technical glitch)/Incident</strong>, the <strong>(object)/Entity</strong> was <strong>(thrown)/Action</strong> but was later <strong>(caught)/Action</strong> by <strong>(another robot)/Entity</strong>.</p> </blockquote> <p>Given examples like this, is there anyway I can train a classifier to recognize new named-entities? For instance, given a sentence like this:</p> <blockquote> <p>The nanobot had a bug and so it crashed into the wall.</p> </blockquote> <p>should be tagged somewhat like this:</p> <blockquote> <p>The <strong>(nanobot)/Entity</strong> had a <strong>(bug)/Incident</strong> and so it <strong>(crashed)/Action</strong> into the <strong>(wall)/Entity</strong>.</p> </blockquote> <p>Of course, I am aware that 100% accuracy is not possible but I would be interested in knowing any formal approaches to do this. Any suggestions?</p>

Querying!

Guidance

An individual column

Larger individual text columns get their own page to allow for proper reading.

SQuiL has stopped working due to an internal error.

If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

Reload