English Proposition Bank
Problem: Which frames may target language verbs evoke?
buy.01
Roles:
A0: buyer
A1: thing bought
A2: seller
A3: price paid
A4: benefactive
like.01
Roles:
A0: liker
A1: object of affection
give.01
Roles:
A0: giver
A1: thing given
A2: entity given to
Alan Akbik, Xinyu Guan and Yunyao Li
IBM Research – Almaden, Yale University
Multilingual Aliasing for Auto-Generating
Proposition Banks
How can we enable
Universal Semantic Role Labeling
across new languages?
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan and Huaiyu Zhu. ACL 2015.
Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages. Alan Akbik and Yunyao Li. EMNLP 2016.
Chinese
Universal Proposition Bank
French
Universal Proposition Bank
German
Universal Proposition Bank
The manA0 boughtBUY.01 a catA1 yesterdayAM-TMP for 100 dollarsA3. HeA0 reallyAM-MNR likesLIKE.01
the catA1.
The engineerA0 boughtBUY.01 a carA1 from a dealership in San JoseA2. SheA0 gaveGIVE.01 the carA1 to
her daughterA2 as a presentAM-PRD. Her daughterA0 howeverAM-DIS does notAM-NEG likeLIKE.01 the
carA1.
Frame lexicon
Annotated text
买.01
Source: [buy.01]
Roles:
A0: buyer
A1: thing bought
A2: seller
A3: price paid
A4: benefactive
喝.01
Source: [drink.01]
Roles:
A0: drinker
A1: drink
我A0 也 会 为 你A4 买BUY.01 嫁妆A1 。我A0 甚至 可以 帮
你买BUY.01 一 个 冰淇淋 甜筒A1 。我A0 从来不AM-NEG
喝DRINK.01 瓶装 啤酒A1 。
drehen.01
Source: [turn.01]
Roles:
A0: turner
A1: thing turning
Am: direction
kaufen.01
Source: [buy.01]
Roles:
A0: buyer
A1: thing bought
A2: seller
A3: price paid
A4: benefactive
Der Millionär A0 kaufte BUY.01 sich eine Jacht A1 für 1
millionen Euro A3. Nach dem Kauf AM-TMP drehte TURN.01
er A0 sich zur Jacht A0 und begann, einen Film A0 zu
drehen FILM.01.
arriver.01
Source: [arrive.01]
Roles:
A1: 'comer'
A2: extent
A3: start point
A4: destination
acheter.01
Source: [buy.01]
Roles:
A0: buyer
A1: thing bought
A2: seller
A3: price paid
A4: benefactive
Quand j’A1 arrive ARRIVE.01 en FranceA4, jeA0 vais
m’acheter BUY.01 une baguetteA1. Et après celaAM-TMP,
jeA0 vais revenirRETURN.01 aux États-Unis.
Original
drehen.
04
SHOOT.03
record on film
A0: videographer
A1: subject filmed
A2: medium
drehen.
01
TURN.01
rotation
A0: turner
A1: thing turning
Am: direction
drehen.
02
TURN.02
transformation
A0: causer of
transformation
A1: thing changing
A2: end state
A3: start state
record on film
A0: recorder
A1: thing filmed
drehen.
03
FILM.01
incorrect frame,
filtered
Merged
synonyms,
merged
Verb: drehen
Filtered
drehen.
01
TURN.01
rotation
A0: turner
A1: thing turning
Am: direction
record on film
A0: recorder
A1: thing filmed
drehen.
03
FILM.01
drehen.
01
TURN.01
rotation
A0: turner
A1: thing turning
Am: direction
drehen.
03
FILM.01
SHOOT.03
record on film
A0: recorder
A1: thing filmed
record on film
A0: videographer
A1: subject filmed
A2: medium
drehen.
04
SHOOT.03
kosten.01 TASTE.01
use one’s tastebuds
A0: taster
A1: food
Kosten Sie erst den Cocktail!
Taste you first the drink!
(You haven’t tasted your drink.)
Example:
kosten.02 TRY.01
attempt
A0: entity trying
A1: thing tried
Sie müssen vom Bananen-Kuchen kosten!
You must of the banana shortcake try!
(You must try the banana shortcake.)
Example:
Annotation Projection
Impact of Aliasing
Merge Decision
Verbs with no English frames
Two-Step Approach for Curating
Frame Mappings
• Step 1: Filter incorrect mappings
• Step 2: Group “usage-synonyms’
• Execute approach to create curated
frame mappings for three languages
Universal Proposition Banks
Version 1.0
Public release!
https://github.com/System-T/UniversalPropositions/

Coling poster

  • 1.
    English Proposition Bank Problem:Which frames may target language verbs evoke? buy.01 Roles: A0: buyer A1: thing bought A2: seller A3: price paid A4: benefactive like.01 Roles: A0: liker A1: object of affection give.01 Roles: A0: giver A1: thing given A2: entity given to Alan Akbik, Xinyu Guan and Yunyao Li IBM Research – Almaden, Yale University Multilingual Aliasing for Auto-Generating Proposition Banks How can we enable Universal Semantic Role Labeling across new languages? Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling. Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan and Huaiyu Zhu. ACL 2015. Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages. Alan Akbik and Yunyao Li. EMNLP 2016. Chinese Universal Proposition Bank French Universal Proposition Bank German Universal Proposition Bank The manA0 boughtBUY.01 a catA1 yesterdayAM-TMP for 100 dollarsA3. HeA0 reallyAM-MNR likesLIKE.01 the catA1. The engineerA0 boughtBUY.01 a carA1 from a dealership in San JoseA2. SheA0 gaveGIVE.01 the carA1 to her daughterA2 as a presentAM-PRD. Her daughterA0 howeverAM-DIS does notAM-NEG likeLIKE.01 the carA1. Frame lexicon Annotated text 买.01 Source: [buy.01] Roles: A0: buyer A1: thing bought A2: seller A3: price paid A4: benefactive 喝.01 Source: [drink.01] Roles: A0: drinker A1: drink 我A0 也 会 为 你A4 买BUY.01 嫁妆A1 。我A0 甚至 可以 帮 你买BUY.01 一 个 冰淇淋 甜筒A1 。我A0 从来不AM-NEG 喝DRINK.01 瓶装 啤酒A1 。 drehen.01 Source: [turn.01] Roles: A0: turner A1: thing turning Am: direction kaufen.01 Source: [buy.01] Roles: A0: buyer A1: thing bought A2: seller A3: price paid A4: benefactive Der Millionär A0 kaufte BUY.01 sich eine Jacht A1 für 1 millionen Euro A3. Nach dem Kauf AM-TMP drehte TURN.01 er A0 sich zur Jacht A0 und begann, einen Film A0 zu drehen FILM.01. arriver.01 Source: [arrive.01] Roles: A1: 'comer' A2: extent A3: start point A4: destination acheter.01 Source: [buy.01] Roles: A0: buyer A1: thing bought A2: seller A3: price paid A4: benefactive Quand j’A1 arrive ARRIVE.01 en FranceA4, jeA0 vais m’acheter BUY.01 une baguetteA1. Et après celaAM-TMP, jeA0 vais revenirRETURN.01 aux États-Unis. Original drehen. 04 SHOOT.03 record on film A0: videographer A1: subject filmed A2: medium drehen. 01 TURN.01 rotation A0: turner A1: thing turning Am: direction drehen. 02 TURN.02 transformation A0: causer of transformation A1: thing changing A2: end state A3: start state record on film A0: recorder A1: thing filmed drehen. 03 FILM.01 incorrect frame, filtered Merged synonyms, merged Verb: drehen Filtered drehen. 01 TURN.01 rotation A0: turner A1: thing turning Am: direction record on film A0: recorder A1: thing filmed drehen. 03 FILM.01 drehen. 01 TURN.01 rotation A0: turner A1: thing turning Am: direction drehen. 03 FILM.01 SHOOT.03 record on film A0: recorder A1: thing filmed record on film A0: videographer A1: subject filmed A2: medium drehen. 04 SHOOT.03 kosten.01 TASTE.01 use one’s tastebuds A0: taster A1: food Kosten Sie erst den Cocktail! Taste you first the drink! (You haven’t tasted your drink.) Example: kosten.02 TRY.01 attempt A0: entity trying A1: thing tried Sie müssen vom Bananen-Kuchen kosten! You must of the banana shortcake try! (You must try the banana shortcake.) Example: Annotation Projection Impact of Aliasing Merge Decision Verbs with no English frames Two-Step Approach for Curating Frame Mappings • Step 1: Filter incorrect mappings • Step 2: Group “usage-synonyms’ • Execute approach to create curated frame mappings for three languages Universal Proposition Banks Version 1.0 Public release! https://github.com/System-T/UniversalPropositions/