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:


2147488056
In March 2020, Anthony Fauci predicted that the infection fatality rate would likely be close to 1%, which was ten times more severe than the 0.1% reported rate for seasonal flu.

On May 21, 2020, Anthony Fauci delivered guest remarks for the Johns Hopkins University Class of 2020, offering his insights and experiences to the graduating students.

(see previous sentance)
Subject :

Anthony Fauci

Anthony Fauci

the Johns Hopkins University

Action :

delivered

offering

graduating

delivered

Object :

Anthony Fauci

the Johns Hopkins University

Date:

2020

Location:


Collection:

Anthony Fauci

Anthony Fauci

the Johns Hopkins University




13706
`whenYear` <'3000'
AND `whenYear`= ' 2020 '
AND `whatEventType`<>'took a picture'
AND
( `whoCharName` = 'Anthony Fauci ' or `whoRel` = 'Anthony Fauci')
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.