t Prr r t r - - PowerPoint PPT Presentation

▶
t pr r r t r
SMART_READER_LITE
LIVE PREVIEW

t Prr r t r - - PowerPoint PPT Presentation

Jul 28, 2023 304 likes •708 views

t Prr r t r t t ss

slide-1
SLIDE 1

❊✣❝✐❡♥t Pr♦❣r❛♠♠❛❜❧❡ ▲❡❛r♥✐♥❣ t♦ ❙❡❛r❝❤

❲✐t❤ ❍❛❧ ❉❛✉♠❡✱ ❛♥❞ ❙t❡♣❤❛♥❡ ❘♦ss ❤tt♣✿✴✴❛r①✐✈✳♦r❣✴❛❜s✴✶✹✵✻✳✶✽✸✼ ■❈▼▲ ❲♦r❦s❤♦♣ ♦♥ ◆❡✇ ▲❡❛r♥✐♥❣ ❋r❛♠❡✇♦r❦s ❛♥❞ ▼♦❞❡❧s ❢♦r ❇✐❣ ❉❛t❛ ❏✉♥❡ ✷✺✱ ✷✵✶✹

slide-2
SLIDE 2

❙tr✉❝t✉r❡❞ Pr❡❞✐❝t✐♦♥

❂ ❥♦✐♥t ♣r❡❞✐❝t✐♦♥ ✇✐t❤ ❛ ❥♦✐♥t ❧♦ss ❊①❛♠♣❧❡✿ P❛rt ♦❢ ❙♣❡❡❝❤ ❚❛❣❣✐♥❣ P✐❡rr❡ ❱✐♥❦❡♥ ✱ ✻✶ ②❡❛rs ♦❧❞ Pr♦♣❡r ◆✳ Pr♦♣❡r ◆✳ ❈♦♠♠❛ ◆✉♠❜❡r ◆♦✉♥ ❆❞❥✳

slide-3
SLIDE 3

❙tr✉❝t✉r❡❞ Pr❡❞✐❝t✐♦♥

❂ ❥♦✐♥t ♣r❡❞✐❝t✐♦♥ ✇✐t❤ ❛ ❥♦✐♥t ❧♦ss ❊①❛♠♣❧❡✿ P❛rt ♦❢ ❙♣❡❡❝❤ ❚❛❣❣✐♥❣ P✐❡rr❡ ❱✐♥❦❡♥ ✱ ✻✶ ②❡❛rs ♦❧❞ Pr♦♣❡r ◆✳ Pr♦♣❡r ◆✳ ❈♦♠♠❛ ◆✉♠❜❡r ◆♦✉♥ ❆❞❥✳

slide-4
SLIDE 4

❍♦✇ ❝❛♥ ②♦✉ ❜❡st ❞♦ str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥❄

❲❡ ❝❛r❡ ❛❜♦✉t✿ ✶✳ Pr♦❣r❛♠♠✐♥❣ ❝♦♠♣❧❡①✐t②✳ ▼♦st str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥s ❛r❡ ♥♦t ❛❞❞r❡ss❡❞ ✇✐t❤ str✉❝t✉r❡❞ ❧❡❛r♥✐❣♥ ❛❧❣♦r✐t❤♠s✱ ❜❡❝❛✉s❡ ✐t ✐t t♦♦ ❝♦♠♣❧❡① t♦ ❞♦ s♦✳ ✷✳ Pr❡❞✐❝t✐♦♥ ❛❝❝✉r❛❝②✳ ■t ❤❛❞ ❜❡tt❡r ✇♦r❦ ✇❡❧❧✳ ✸✳ ❚r❛✐♥ s♣❡❡❞✳ ❉❡❜✉❣✴❞❡✈❡❧♦♣♠❡♥t ♣r♦❞✉❝t✐✈✐t② ✰ ♠❛①✐♠✉♠ ❞❛t❛ ✐♥♣✉t✳ ✹✳ ❚❡st s♣❡❡❞✳ ❆♣♣❧✐❝❛t✐♦♥ ❡✣❝✐❡♥❝②

slide-5
SLIDE 5

❍♦✇ ❝❛♥ ②♦✉ ❜❡st ❞♦ str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥❄

❲❡ ❝❛r❡ ❛❜♦✉t✿ ✶✳ Pr♦❣r❛♠♠✐♥❣ ❝♦♠♣❧❡①✐t②✳ ▼♦st str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥s ❛r❡ ♥♦t ❛❞❞r❡ss❡❞ ✇✐t❤ str✉❝t✉r❡❞ ❧❡❛r♥✐❣♥ ❛❧❣♦r✐t❤♠s✱ ❜❡❝❛✉s❡ ✐t ✐t t♦♦ ❝♦♠♣❧❡① t♦ ❞♦ s♦✳ ✷✳ Pr❡❞✐❝t✐♦♥ ❛❝❝✉r❛❝②✳ ■t ❤❛❞ ❜❡tt❡r ✇♦r❦ ✇❡❧❧✳ ✸✳ ❚r❛✐♥ s♣❡❡❞✳ ❉❡❜✉❣✴❞❡✈❡❧♦♣♠❡♥t ♣r♦❞✉❝t✐✈✐t② ✰ ♠❛①✐♠✉♠ ❞❛t❛ ✐♥♣✉t✳ ✹✳ ❚❡st s♣❡❡❞✳ ❆♣♣❧✐❝❛t✐♦♥ ❡✣❝✐❡♥❝②

slide-6
SLIDE 6

❍♦✇ ❝❛♥ ②♦✉ ❜❡st ❞♦ str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥❄

❲❡ ❝❛r❡ ❛❜♦✉t✿ ✶✳ Pr♦❣r❛♠♠✐♥❣ ❝♦♠♣❧❡①✐t②✳ ▼♦st str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥s ❛r❡ ♥♦t ❛❞❞r❡ss❡❞ ✇✐t❤ str✉❝t✉r❡❞ ❧❡❛r♥✐❣♥ ❛❧❣♦r✐t❤♠s✱ ❜❡❝❛✉s❡ ✐t ✐t t♦♦ ❝♦♠♣❧❡① t♦ ❞♦ s♦✳ ✷✳ Pr❡❞✐❝t✐♦♥ ❛❝❝✉r❛❝②✳ ■t ❤❛❞ ❜❡tt❡r ✇♦r❦ ✇❡❧❧✳ ✸✳ ❚r❛✐♥ s♣❡❡❞✳ ❉❡❜✉❣✴❞❡✈❡❧♦♣♠❡♥t ♣r♦❞✉❝t✐✈✐t② ✰ ♠❛①✐♠✉♠ ❞❛t❛ ✐♥♣✉t✳ ✹✳ ❚❡st s♣❡❡❞✳ ❆♣♣❧✐❝❛t✐♦♥ ❡✣❝✐❡♥❝②

slide-7
SLIDE 7

❍♦✇ ❝❛♥ ②♦✉ ❜❡st ❞♦ str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥❄

❲❡ ❝❛r❡ ❛❜♦✉t✿ ✶✳ Pr♦❣r❛♠♠✐♥❣ ❝♦♠♣❧❡①✐t②✳ ▼♦st str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥s ❛r❡ ♥♦t ❛❞❞r❡ss❡❞ ✇✐t❤ str✉❝t✉r❡❞ ❧❡❛r♥✐❣♥ ❛❧❣♦r✐t❤♠s✱ ❜❡❝❛✉s❡ ✐t ✐t t♦♦ ❝♦♠♣❧❡① t♦ ❞♦ s♦✳ ✷✳ Pr❡❞✐❝t✐♦♥ ❛❝❝✉r❛❝②✳ ■t ❤❛❞ ❜❡tt❡r ✇♦r❦ ✇❡❧❧✳ ✸✳ ❚r❛✐♥ s♣❡❡❞✳ ❉❡❜✉❣✴❞❡✈❡❧♦♣♠❡♥t ♣r♦❞✉❝t✐✈✐t② ✰ ♠❛①✐♠✉♠ ❞❛t❛ ✐♥♣✉t✳ ✹✳ ❚❡st s♣❡❡❞✳ ❆♣♣❧✐❝❛t✐♦♥ ❡✣❝✐❡♥❝②

slide-8
SLIDE 8

❍♦✇ ❝❛♥ ②♦✉ ❜❡st ❞♦ str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥❄

❲❡ ❝❛r❡ ❛❜♦✉t✿ ✶✳ Pr♦❣r❛♠♠✐♥❣ ❝♦♠♣❧❡①✐t②✳ ▼♦st str✉❝t✉r❡❞ ♣r❡❞✐❝t✐♦♥s ❛r❡ ♥♦t ❛❞❞r❡ss❡❞ ✇✐t❤ str✉❝t✉r❡❞ ❧❡❛r♥✐❣♥ ❛❧❣♦r✐t❤♠s✱ ❜❡❝❛✉s❡ ✐t ✐t t♦♦ ❝♦♠♣❧❡① t♦ ❞♦ s♦✳ ✷✳ Pr❡❞✐❝t✐♦♥ ❛❝❝✉r❛❝②✳ ■t ❤❛❞ ❜❡tt❡r ✇♦r❦ ✇❡❧❧✳ ✸✳ ❚r❛✐♥ s♣❡❡❞✳ ❉❡❜✉❣✴❞❡✈❡❧♦♣♠❡♥t ♣r♦❞✉❝t✐✈✐t② ✰ ♠❛①✐♠✉♠ ❞❛t❛ ✐♥♣✉t✳ ✹✳ ❚❡st s♣❡❡❞✳ ❆♣♣❧✐❝❛t✐♦♥ ❡✣❝✐❡♥❝②

slide-9
SLIDE 9

❆ ♣r♦❣r❛♠ ❝♦♠♣❧❡①✐t② ❝♦♠♣❛r✐s♦♥

1 10 100 1000 CRFSGD CRF++ S-SVM Search lines of code for POS

slide-10
SLIDE 10

100 101 102 103 Training Time (minutes) 0.88 0.90 0.92 0.94 0.96 0.98 Accuracy (per tag)

95.7 96.6 95.0 95.8 95.7 96.1 90.7 96.1 1m 10m 30m 1h

Part of speech tagging (tuned hps)

VW Search VW Search (own fts) VW Classification CRF SGD CRF++

  • Str. Perceptron

Structured SVM Str.SVM (DEMI-DCD)

slide-11
SLIDE 11

NER POS

50 100 150 200 250 300

285 133 218 129 24 5.7 98 13 5.6 14 5.3

Prediction (test-time) Speed

VW Search VW Search (own fts) CRF SGD CRF++

  • Str. Perceptron

Structured SVM

  • Str. SVM (DEMI-DCD)

Thousands of Tokens per Second

slide-12
SLIDE 12

❆♥ ♦✉t❧✐♥❡

✶✳ ❍♦✇❄

✶✳✶ Pr♦❣r❛♠♠✐♥❣ ✶✳✷ ▲❡❛r♥✐♥❣ t♦ ❙❡❛r❝❤ ✶✳✸ ❊q✉✐✈❛❧❡♥❝❡ ✶✳✹ ❖♣t✐♠✐③❛t✐♦♥s

✷✳ ❖t❤❡r ❘❡s✉❧ts

slide-13
SLIDE 13

❍♦✇ ❞♦ ②♦✉ ♣r♦❣r❛♠❄

❙❡q✉❡♥t✐❛❧❴❘❯◆✭❡①❛♠♣❧❡s✮

✶✿ ❢♦r ✐ = ✶ t♦ ❧❡♥✭❡①❛♠♣❧❡s✮ ❞♦ ✷✿

♣r❡❞✐❝t✐♦♥ ← ♣r❡❞✐❝t✭❡①❛♠♣❧❡s❬✐❪✱ ❡①❛♠♣❧❡s❬✐❪✳❧❛❜❡❧✮

✸✿

✐❢ ♦✉t♣✉t✳❣♦♦❞ t❤❡♥

✹✿

♦✉t♣✉t ✓ ✬ ✬ ✓ ♣r❡❞✐❝t✐♦♥

✺✿

❡♥❞ ✐❢

✻✿ ❡♥❞ ❢♦r

■♥ ❡ss❡♥❝❡✱ ✇r✐t❡ t❤❡ ❞❡❝♦❞❡r✱ ♣r♦✈✐❞✐♥❣ ❛ ❧✐tt❧❡ ❜✐t ♦❢ s✐❞❡ ✐♥❢♦r♠❛t✐♦♥ ❢♦r tr❛✐♥✐♥❣✳

slide-14
SLIDE 14

❍♦✇ ❞♦ ②♦✉ ♣r♦❣r❛♠❄

❙❡q✉❡♥t✐❛❧❴❘❯◆✭❡①❛♠♣❧❡s✮

✶✿ ❢♦r ✐ = ✶ t♦ ❧❡♥✭❡①❛♠♣❧❡s✮ ❞♦ ✷✿

♣r❡❞✐❝t✐♦♥ ← ♣r❡❞✐❝t✭❡①❛♠♣❧❡s❬✐❪✱ ❡①❛♠♣❧❡s❬✐❪✳❧❛❜❡❧✮

✸✿

✐❢ ♦✉t♣✉t✳❣♦♦❞ t❤❡♥

✹✿

♦✉t♣✉t ✓ ✬ ✬ ✓ ♣r❡❞✐❝t✐♦♥

✺✿

❡♥❞ ✐❢

✻✿ ❡♥❞ ❢♦r

■♥ ❡ss❡♥❝❡✱ ✇r✐t❡ t❤❡ ❞❡❝♦❞❡r✱ ♣r♦✈✐❞✐♥❣ ❛ ❧✐tt❧❡ ❜✐t ♦❢ s✐❞❡ ✐♥❢♦r♠❛t✐♦♥ ❢♦r tr❛✐♥✐♥❣✳

slide-15
SLIDE 15

❙❡q❴❉❡t❡❝t✐♦♥✭❡①❛♠♣❧❡s✱ ❢❛❧s❡❴♥❡❣❛t✐✈❡❴❧♦ss✮

▲❡t ♠❛①❴❧❛❜❡❧ ❂ ✶✱ ♠❛①❴♣r❡❞✐❝t✐♦♥ ❂ ✶ ❢♦r ✐ = ✶ t♦ ❧❡♥✭❡①❛♠♣❧❡s✮ ❞♦ ♠❛①❴❧❛❜❡❧ ← ♠❛①✭♠❛①❴❧❛❜❡❧✱ ❡①❛♠♣❧❡s❬✐❪✳❧❛❜❡❧✮ ❡♥❞ ❢♦r ❢♦r ✐ = ✶ t♦ ❧❡♥✭❡①❛♠♣❧❡s✮ ❞♦ ♠❛①❴♣r❡❞✐❝t✐♦♥ ← ♠❛①✭♠❛①❴♣r❡❞✐❝t✐♦♥✱ ♣r❡❞✐❝t✭❡①❛♠♣❧❡s❬✐❪✱ ❡①❛♠♣❧❡s❬✐❪✳❧❛❜❡❧✮✮ ❡♥❞ ❢♦r ✐❢ ♠❛①❴❧❛❜❡❧ ❃ ♠❛①❴♣r❡❞✐❝t✐♦♥ t❤❡♥ ❧♦ss✭❢❛❧s❡❴♥❡❣❛t✐✈❡❴❧♦ss✮ ❡❧s❡ ✐❢ ♠❛①❴❧❛❜❡❧ ❁ ♠❛①❴♣r❡❞✐❝t✐♦♥ t❤❡♥ ❧♦ss✭✶✮ ❡❧s❡ ❧♦ss✭✵✮ ❡♥❞ ✐❢ ❡♥❞ ✐❢

slide-16
SLIDE 16

❙❡q❴❉❡t❡❝t✐♦♥✭❡①❛♠♣❧❡s✱ ❢❛❧s❡❴♥❡❣❛t✐✈❡❴❧♦ss✮

▲❡t ♠❛①❴❧❛❜❡❧ ❂ ✶✱ ♠❛①❴♣r❡❞✐❝t✐♦♥ ❂ ✶ ❢♦r ✐ = ✶ t♦ ❧❡♥✭❡①❛♠♣❧❡s✮ ❞♦ ♠❛①❴❧❛❜❡❧ ← ♠❛①✭♠❛①❴❧❛❜❡❧✱ ❡①❛♠♣❧❡s❬✐❪✳❧❛❜❡❧✮ ❡♥❞ ❢♦r ❢♦r ✐ = ✶ t♦ ❧❡♥✭❡①❛♠♣❧❡s✮ ❞♦ s♥❛♣s❤♦t✭✐✱ ✫✐✮ s♥❛♣s❤♦t✭✐✱ ✫♠❛①❴♣r❡❞✐❝t✐♦♥✮ ♠❛①❴♣r❡❞✐❝t✐♦♥ ← ♠❛①✭♠❛①❴♣r❡❞✐❝t✐♦♥✱ ♣r❡❞✐❝t✭❡①❛♠♣❧❡s❬✐❪✱ ❡①❛♠♣❧❡s❬✐❪✳❧❛❜❡❧✮✮ ❡♥❞ ❢♦r ✐❢ ♠❛①❴❧❛❜❡❧ ❃ ♠❛①❴♣r❡❞✐❝t✐♦♥ t❤❡♥ ❧♦ss✭❢❛❧s❡❴♥❡❣❛t✐✈❡❴❧♦ss✮ ❡❧s❡ ✐❢ ♠❛①❴❧❛❜❡❧ ❁ ♠❛①❴♣r❡❞✐❝t✐♦♥ t❤❡♥ ❧♦ss✭✶✮ ❡❧s❡ ❧♦ss✭✵✮ ❡♥❞ ✐❢ ❡♥❞ ✐❢

slide-17
SLIDE 17

❍♦✇ ❞♦❡s ✐t ✇♦r❦❄

❆♥ ❆♣♣❧✐❝❛t✐♦♥ ♦❢ ✏▲❡❛r♥✐♥❣ t♦ ❙❡❛r❝❤✑ ❛❧❣♦r✐t❤♠s ✭❡✳❣✳ ❙❡❛r♥✴❉❆❣❣❡r✮✳ ❉❡❝♦❞❡r r✉♥ ♠❛♥② t✐♠❡s ❛t tr❛✐♥ t✐♠❡ t♦ ♦♣t✐♠✐③❡ ♣r❡❞✐❝t✭✳✳✳✮ ❢♦r ❧♦ss✭✳✳✳✮ ✉s✐♥❣ ♦♣t✐♦♥❛❧ s♥❛♣s❤♦t✭✳✳✳✮ ♦♣t✐♠✐③❛t✐♦♥✳

slide-18
SLIDE 18

❆ ❙❡❛r❝❤ ❙♣❛❝❡

Start State

slide-19
SLIDE 19

❆ ❙❡❛r❝❤ ❙♣❛❝❡

Start State

slide-20
SLIDE 20

❆ ❙❡❛r❝❤ ❙♣❛❝❡

Start State

slide-21
SLIDE 21

❆ ❙❡❛r❝❤ ❙♣❛❝❡

Start State

slide-22
SLIDE 22

❆ ❙❡❛r❝❤ ❙♣❛❝❡

Start State

slide-23
SLIDE 23

❆ ❙❡❛r❝❤ ❙♣❛❝❡

End States Start State

slide-24
SLIDE 24

❆ ❙❡❛r❝❤ ❙♣❛❝❡

End States Start State Predict Loss

slide-25
SLIDE 25

▲❡❛r♥✐♥❣ t♦ ❙❡❛r❝❤

End States Start State Rollout

slide-26
SLIDE 26

▲❡❛r♥✐♥❣ t♦ ❙❡❛r❝❤

End States Start State Rollout Collapse

slide-27
SLIDE 27

▲❡❛r♥✐♥❣ t♦ ❙❡❛r❝❤

End States Start State Loss Rollout Collapse

slide-28
SLIDE 28

▲❡❛r♥✐♥❣ t♦ ❙❡❛r❝❤ ❉❡t❛✐❧s

❘♦❧❧♦✉ts r❡q✉✐r❡ ❡①✐st✐♥❣ ♣♦❧✐❝②✳ ❚❤❡ ♣♦❧✐❝② ❢♦r♠✿ π(①) = αtπ✵ + (✶ − αt)πt ✇❤❡r❡ αt = (✶ − ǫ)t ✐s ❛ st♦❝❤❛st✐❝ ✐♥t❡r♣♦❧❛t✐♦♥ ❛♥❞ πt ✐s t❤❡ ♣♦❧✐❝② tr❛✐♥❡❞ ♦♥ t − ✶ s❛♠♣❧❡s

  • ✐✈❡♥ ❢❡❛t✉r❡s ①s ❛♥❞ ❛ ❧♦ss ❢♦r ❡❛❝❤ ❛❝t✐♦♥ ❧❛ ❢♦r♠

❝♦st✲s❡♥s✐t✐✈❡ tr❛✐♥✐♥❣ ❡①❛♠♣❧❡ (①s, ❧✶, ❧✷, ...❧❦) ✉s❡❞ t♦ ✉♣❞❛t❡ ♣♦❧✐❝②✳

slide-29
SLIDE 29

❚❉❖▲❘ ♣r♦❣r❛♠ ❡q✉✐✈❛❧❡♥❝❡

❚❤❡♦r❡♠✿ ❊✈❡r② ❛❧❣♦r✐t❤♠ ✇❤✐❝❤✿ ✶✳ ❆❧✇❛②s t❡r♠✐♥❛t❡s✳ ✷✳ ❚❛❦❡s ❛s ✐♥♣✉t r❡❧❡✈❛♥t ❢❡❛t✉r❡ ✐♥❢♦r♠❛t✐♦♥ ❳✳ ✸✳ ▼❛❦❡ ✵+ ❝❛❧❧s t♦ ♣r❡❞✐❝t✳ ✹✳ ❘❡♣♦rts ❧♦ss ♦♥ t❡r♠✐♥❛t✐♦♥✳ ❞❡✜♥❡s ❛ s❡❛r❝❤ s♣❛❝❡✱ ❛♥❞ s✉❝❤ ❛♥ ❛❧❣♦r✐t❤♠ ❡①✐sts ❢♦r ❡✈❡r② s❡❛r❝❤ s♣❛❝❡✳

slide-30
SLIDE 30

❖♣t✐♠✐③❛t✐♦♥

◆❛✐✈❡ tr❛✐♥✐♥❣ t✐♠❡✿ ❖(❑❚ ✷❉) ✇❤❡r❡✿ ❑ ❂ ♥✉♠❜❡r ♦❢ ❛❝t✐♦♥s ❚ ❂ ♥✉♠❜❡r ♦❢ ❞❡❝✐s✐♦♥s ❉ ❂ ❖r❛❝❧❡ ❝♦♠♣❧❡①✐t② ❚②♣✐❝❛❧ ❈❘❋ r✉♥t✐♠❡ ✐s ❖(❑ ✷❚) ❲✐t❤ ♦♣t✐♠✐③❛t✐♦♥s✱ t②♣✐❝❛❧❧② ❖ ❑❚ ✷ ❑❚❉ ✳

slide-31
SLIDE 31

❖♣t✐♠✐③❛t✐♦♥

◆❛✐✈❡ tr❛✐♥✐♥❣ t✐♠❡✿ ❖(❑❚ ✷❉) ✇❤❡r❡✿ ❑ ❂ ♥✉♠❜❡r ♦❢ ❛❝t✐♦♥s ❚ ❂ ♥✉♠❜❡r ♦❢ ❞❡❝✐s✐♦♥s ❉ ❂ ❖r❛❝❧❡ ❝♦♠♣❧❡①✐t② ❚②♣✐❝❛❧ ❈❘❋ r✉♥t✐♠❡ ✐s ❖(❑ ✷❚) ❲✐t❤ ♦♣t✐♠✐③❛t✐♦♥s✱ t②♣✐❝❛❧❧② ❖(❑❚ ✷ + ❑❚❉)✳

slide-32
SLIDE 32

❖♣t✐♠✐③❛t✐♦♥s

✶✳ ▼❡♠♦✐③❛t✐♦♥✳ ◆❡✈❡r ❝❛❧❧ t❤❡ ♦r❛❝❧❡ t✇✐❝❡ ✇✐t❤ t❤❡ s❛♠❡ ❢❡❛t✉r❡s ✇✐t❤✐♥ ❛♥ ❡①❛♠♣❧❡✳ ✷✳ Ps❡✉❞♦r❛♥❞♦♠ ✈❛r✐❛♥❝❡ r❡❞✉❝t✐♦♥✳ ❙t♦❝❤❛st✐❝ ✐♥t❡r♣♦❧❛t✐♦♥ ✉s❡s t❤❡ s❛♠❡ r❛♥❞♦♠ s❡❡❞ ♦♥ ❡❛❝❤ r♦❧❧♦✉t✳ ✸✳ ❙♥❛♣s❤♦t ❏✉♠♣ t♦ r♦❧❧♦✉t ♣♦✐♥t✳ ✹✳ ❘♦❧❧♦✉t ❈♦❧❧❛♣s❡✳ ◆♦ ♥❡❡❞ t♦ r♦❧❧♦✉t ❛❢t❡r t❤❡ st❛t❡ ❝♦❧❧❛♣s❡s✳

slide-33
SLIDE 33

❖♣t✐♠✐③❛t✐♦♥s

✶✳ ▼❡♠♦✐③❛t✐♦♥✳ ◆❡✈❡r ❝❛❧❧ t❤❡ ♦r❛❝❧❡ t✇✐❝❡ ✇✐t❤ t❤❡ s❛♠❡ ❢❡❛t✉r❡s ✇✐t❤✐♥ ❛♥ ❡①❛♠♣❧❡✳ ✷✳ Ps❡✉❞♦r❛♥❞♦♠ ✈❛r✐❛♥❝❡ r❡❞✉❝t✐♦♥✳ ❙t♦❝❤❛st✐❝ ✐♥t❡r♣♦❧❛t✐♦♥ ✉s❡s t❤❡ s❛♠❡ r❛♥❞♦♠ s❡❡❞ ♦♥ ❡❛❝❤ r♦❧❧♦✉t✳ ✸✳ ❙♥❛♣s❤♦t ❏✉♠♣ t♦ r♦❧❧♦✉t ♣♦✐♥t✳ ✹✳ ❘♦❧❧♦✉t ❈♦❧❧❛♣s❡✳ ◆♦ ♥❡❡❞ t♦ r♦❧❧♦✉t ❛❢t❡r t❤❡ st❛t❡ ❝♦❧❧❛♣s❡s✳

slide-34
SLIDE 34

❖♣t✐♠✐③❛t✐♦♥s

✶✳ ▼❡♠♦✐③❛t✐♦♥✳ ◆❡✈❡r ❝❛❧❧ t❤❡ ♦r❛❝❧❡ t✇✐❝❡ ✇✐t❤ t❤❡ s❛♠❡ ❢❡❛t✉r❡s ✇✐t❤✐♥ ❛♥ ❡①❛♠♣❧❡✳ ✷✳ Ps❡✉❞♦r❛♥❞♦♠ ✈❛r✐❛♥❝❡ r❡❞✉❝t✐♦♥✳ ❙t♦❝❤❛st✐❝ ✐♥t❡r♣♦❧❛t✐♦♥ ✉s❡s t❤❡ s❛♠❡ r❛♥❞♦♠ s❡❡❞ ♦♥ ❡❛❝❤ r♦❧❧♦✉t✳ ✸✳ ❙♥❛♣s❤♦t ❏✉♠♣ t♦ r♦❧❧♦✉t ♣♦✐♥t✳ ✹✳ ❘♦❧❧♦✉t ❈♦❧❧❛♣s❡✳ ◆♦ ♥❡❡❞ t♦ r♦❧❧♦✉t ❛❢t❡r t❤❡ st❛t❡ ❝♦❧❧❛♣s❡s✳

slide-35
SLIDE 35

❖♣t✐♠✐③❛t✐♦♥s

✶✳ ▼❡♠♦✐③❛t✐♦♥✳ ◆❡✈❡r ❝❛❧❧ t❤❡ ♦r❛❝❧❡ t✇✐❝❡ ✇✐t❤ t❤❡ s❛♠❡ ❢❡❛t✉r❡s ✇✐t❤✐♥ ❛♥ ❡①❛♠♣❧❡✳ ✷✳ Ps❡✉❞♦r❛♥❞♦♠ ✈❛r✐❛♥❝❡ r❡❞✉❝t✐♦♥✳ ❙t♦❝❤❛st✐❝ ✐♥t❡r♣♦❧❛t✐♦♥ ✉s❡s t❤❡ s❛♠❡ r❛♥❞♦♠ s❡❡❞ ♦♥ ❡❛❝❤ r♦❧❧♦✉t✳ ✸✳ ❙♥❛♣s❤♦t ❏✉♠♣ t♦ r♦❧❧♦✉t ♣♦✐♥t✳ ✹✳ ❘♦❧❧♦✉t ❈♦❧❧❛♣s❡✳ ◆♦ ♥❡❡❞ t♦ r♦❧❧♦✉t ❛❢t❡r t❤❡ st❛t❡ ❝♦❧❧❛♣s❡s✳

slide-36
SLIDE 36

❆♥ ♦✉t❧✐♥❡

✶✳ ❍♦✇❄

✶✳✶ Pr♦❣r❛♠♠✐♥❣ ✶✳✷ ▲❡❛r♥✐♥❣ t♦ ❙❡❛r❝❤ ✶✳✸ ❊q✉✐✈❛❧❡♥❝❡ ✶✳✹ ❖♣t✐♠✐③❛t✐♦♥s

✷✳ ❖t❤❡r ❘❡s✉❧ts

slide-37
SLIDE 37

◆❛♠❡❞ ❊♥t✐t② ❘❡❝♦❣♥t✐♦♥

■s t❤✐s ✇♦r❞ ♣❛rt ♦❢ ❛♥ ♦r❣❛♥✐③❛t✐♦♥✱ ♣❡rs♦♥✱ ♦r ♥♦t❄

10-1 100 101 Training Time (minutes) 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 F-score (per entity)

80.0 79.2 73.3 76.5 75.9 76.5 74.6 78.3 10s 1m 10m

Named entity recognition (tuned hps)

slide-38
SLIDE 38

❆ ❞❡♠♦♥str❛t✐♦♥

✇❣❡t ❤tt♣✿✴✴❜✐❧❜♦✳❝s✳✉✐✉❝✳❡❞✉✴⑦❦❝❤❛♥❣✶✵✴ t♠♣✴✇s❥✳✈✇✳③✐♣

✈✇ ✲❜ ✷✹ ✲❞ ✇s❥✳tr❛✐♥✳✈✇ ✲❝ ✕s❡❛r❝❤❴t❛s❦ s❡q✉❡♥❝❡ ✕s❡❛r❝❤ ✹✺ ✕s❡❛r❝❤❴❛❧♣❤❛ ✶❡✲✽ ✕s❡❛r❝❤❴♥❡✐❣❤❜♦r❴❢❡❛t✉r❡s ✲✶✿✇✱✶✿✇ ✕❛✣① ✲✶✇✱✰✶✇ ✲❢ ❢♦♦✳r❡❣❀ ✈✇ ✲t ✲✐ ❢♦♦✳r❡❣ ✇s❥✳t❡st✳✈✇

slide-39
SLIDE 39

❲❤❛t✬s ♥❡①t❄

✶✳ ▼♦r❡ ❝♦♠♣❧❡① t❛s❦s❄ ❑❛✐✲❲❡✐ ❤❛s ❊♥t✐t②✲❘❡❧❛t✐♦♥ ✇♦r❦✐♥❣✳ ✷✳ ❈❛♥ ✇❡ ❛❜str❛❝t t❤❡ s❡❛r❝❤ ♦r❞❡r❄ ✸✳ ❆✉t♦♠❛t✐❝ ❜❡❛♠ s❡❛r❝❤❄ ✹✳ ❘▲ ❛♣♣❧✐❝❛t✐♦♥s❄