Histolines needs your help building awesome timelines!

We are building an AI algorithm to help us read raw historical text and turn them into awesome data timelines. To perfect this algorithm, we need to show them thousands of examples. Help us create these examples by tagging all the events that are described in sentences. Here are some examples of tagged sentances.

We built an interface that shows you the sencences our Natural Language Processing(NLP) algorithms find online about people in history. We need your help identifying different parts of the meaning so we can create enough examples so that we can teach AI how to do it.

Tag a new sentences:

`whenYear` <'3000'

AND `whenYear`= ' '

AND `whatEventType`<>'took a picture'

AND

ORDER BY `whenYear` ASC, `whenMonth` ASC , `whenDay` ASC,`eventSig` DESC

LIMIT

100

Incoming Data

We crawled various websites and created a database of historical sentances that can be turned into timelines. We applied the latest Natural Language Processing techniques to clean up the text filter out most of unecesary words and tagg useful words and dates to create suggestions of tags. Te source of each sentance is displayed above if you need more context to tag.

Tagging Directions

For the most part we want to isolate the subject, action and object of each sentence along with a data and location of this event. For example, in the sentence “Albert Einstein published General Theory of Relativity on 3/20/1916” the subject is Einstein the action is published, and object is the Theory of relativity. Here are a few examples of what we tagged already. One can only imagine how many other ways we can find this information written in.

The gray boxes below give you suggesting on how to populate each input. Name, event and year are mandatory other parts are optional but encouraged.

Object and location might be optional depending on the event. Most human sentences usually describe several events or at least several objects or subjects. Feel free to add another tag to the same sentence. Not every sentence will have a meaningful event that is described in it.