Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
A Natural Language Pipeline
Search
ddqz
July 06, 2019
Technology
0
500
A Natural Language Pipeline
Presentation from the spaCy IRL 2019 conference.
ddqz
July 06, 2019
Tweet
Share
Other Decks in Technology
See All in Technology
KubeCon + CloudNativeCon Japan 2025 Recap by CA
ponkio_o
PRO
0
300
Enhancing SaaS Product Reliability and Release Velocity through Optimized Testing Approach
ropqa
1
230
MobileActOsaka_250704.pdf
akaitadaaki
0
130
マネジメントって難しい、けどおもしろい / Management is tough, but fun! #em_findy
ar_tama
7
1.1k
Beyond Kaniko: Navigating Unprivileged Container Image Creation
f30
0
130
スタートアップに選択肢を 〜生成AIを活用したセカンダリー事業への挑戦〜
nstock
0
210
Delta airlines®️ USA Contact Numbers: Complete 2025 Support Guide
airtravelguide
0
340
KubeCon + CloudNativeCon Japan 2025 Recap Opening & Choose Your Own Adventureシリーズまとめ
mmmatsuda
0
280
PO初心者が考えた ”POらしさ”
nb_rady
0
210
オーティファイ会社紹介資料 / Autify Company Deck
autifyhq
10
130k
赤煉瓦倉庫勉強会「Databricksを選んだ理由と、絶賛真っ只中のデータ基盤移行体験記」
ivry_presentationmaterials
2
370
AWS認定を取る中で感じたこと
siromi
1
190
Featured
See All Featured
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
45
7.5k
GraphQLとの向き合い方2022年版
quramy
49
14k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.4k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
6
300
Optimising Largest Contentful Paint
csswizardry
37
3.3k
Rebuilding a faster, lazier Slack
samanthasiow
82
9.1k
The Invisible Side of Design
smashingmag
301
51k
[RailsConf 2023] Rails as a piece of cake
palkan
55
5.7k
Typedesign – Prime Four
hannesfritz
42
2.7k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
181
54k
Adopting Sorbet at Scale
ufuk
77
9.5k
Measuring & Analyzing Core Web Vitals
bluesmoon
7
510
Transcript
A Natural Language Pipeline
More Input
Knowledge” “A compendium of human...
Library
Physical archives became digital records, encoded with metadata
The internet promised rich dynamic experiences
The internet promised rich dynamic experiences but served us banner
ads
Advertising has and continues to fuel a substantial portion of
the innovation on the internet
What would The Economist look like if it were founded
in 2012?
User
First
Experience
“There’s a reason that tech companies are topping the lists
of most valuable companies and brands. Every company is a tech company.” Maggie Chan Jones
Every story, at its core, is a business story
Language
None
None
Stage -> Stenographer -> Editors -> spaCy -> Data Store
<-> Backend <- Slack <- Users Proto-Pipeline
Over eight hours we created data from the content of
the event, building the model in real-time
The model evolved over time
This was the experiment that would evolve into SiO 2
Silicon, a key element in everything from glass to microchips,
is at the core of global business
Oxygen, the journalistic voice Quartz breathes into the global business
news cycle
Entities are linguistic anchors, defined by context and around which
context can be inferred
Standard Entities PERSON FACILITY ORG PRODUCT GPE EVENT... Additional Entities
TECHNOLOGY PROCESS NATURE MEDIA CONSTRUCT
70K articles 1.4M blocks of text 85K labeled sentences
Entities
This spaCy model made rich analysis for any given text
easy to do on the fly
Stored analysis of a large corpus is a vital resource
The language graph...
Graph
The language graph is a mutable map of the language
model
Any new content is analyzed and then mapped onto the
language graph
Changes made to the graph can then be incorporated into
the next model iteration
The language graph becomes a primary resource for extracting training
data
Snapshots of time can be extracted from the language graph
Context can be derived by looking at the relationships in
the language graph
Elon Musk
Jeff Bezos
Mark Zuckerberg
Context
SiO 2 is a living Natural Language Pipeline of networked
algorithms trained on the corpus of Quartz to understand the linguistic patterns of global business news
The Pipeline(s) Quartz Corpus -> Training Sentences -> spaCy Content
-> spaCy -> Language Graph Language Graph -> Training Data -> Statistical Models / Classifiers Language Graph -> Training Sentences -> spaCy Unseen Content -> spaCy -> Pre-Processed Text / Vectors -> Statistical Models / Classifiers
Thank you