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:


2147605702
In 2017, CNBC aired The Game, the annual college football game between Harvard University and Yale University as part of NBC Sports' Ivy League television contract.

In 2018, CNBC carried 46 hours of Olympic coverage during the Winter Olympics, focusing on hockey and curling.

From: CNBC
(see previous sentance)


Subject :
CNBC

CNBC



Action :
carried

focusing

carried



Object :
CNBC

Olympic

the Winter Olympics




Date :
2018




Location:

CNBC

CNBC




Collection
CNBC

CNBC


Details:


26942
`whenYear` <'3000'
AND `whenYear`= ' 2018 '
AND `whatEventType`<>'took a picture'
AND
( `whoCharName` = 'CNBC ' or `whoRel` = 'CNBC')
ORDER BY `whenYear` ASC, `whenMonth` ASC , `whenDay` ASC,`eventSig` DESC
LIMIT
0
,
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.