semantic parsing based on propositional representations fernandez, sopena, padró
TRANSCRIPT
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Semantic Parsing based on Propositional Representations
Fernandez, Sopena, Padró
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• Resumen– Objetivos– Estructura Proposicional– Arquitectura
• M1• M2
– Ejemplos• Canónico• PP-Attachment
Generalized Role Labeling using Propositional Representations
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Generalized Role Labeling using Propositional Representations
• Objetivos
• Crear un analizador semántico mediante la implementación de un modelo psicológico plausible que:
– Lleva a cabo un mapeo directo i sencillo de las frases a su estructura proposicional
– No utiliza analizadores sintácticos ni estructura sintactica intermedia
• Obtener buenos resultados en textos reales (PTB)
![Page 4: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/4.jpg)
Generalized Role Labeling using Propositional Representations
• Estructura proposicional– Predicado + 3 ArgumentosFrase canónica: “The man sold some offerings to the british tourist”
Pred:sold
Arg1:the man
Arg2:some offerings
Arg3:the british tourist
– Composición de proposiciones“The man sold some offerings to the british tourist in Barcelona”
(P1)Pred:soldArg1:the manArg2:some offeringsArg3:the british tourist
(P2)Pred:Arg1:P1Arg2:in BarcelonaArg3:
![Page 5: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/5.jpg)
Generalized Role Labeling using Propositional Representations
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Generalized Role Labeling using Propositional Representations
• Estructura proposicional
– Argumentos temáticos generalizados (VanValin)
• A1-ACTOR (agent, perceiver, ....)
• A2-UNDERGOER (theme, patient, ... )
• A3-OTHERS (benefactive, goal, location, source, destination, ...)
– Mapping fácil con FrameNet i otros
• Arg1 i arg2 son los dos primeros argumentos core
• Arg3, argumentos core que se identifican por la preposición que los marca.
![Page 7: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/7.jpg)
• Arquitectura• Modulo1 - Estructural/Sintáctico
– Lleva a cabo el mapeo directo de las palabras a la proposición
– Modifica la proposición
– Sin información semántica explicita
• Modulo2 - Semántico– Acepta o rechaza las decisiones estructurales del primer
modulo.
» Consistencia con el verbo (+/-Subcategorization Frames)
» PP-Attachment
» Coordinacion
» Relativo
Generalized Role Labeling using Propositional Representations
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Ventajas
• Complejidad lineal
• Fácil tratamiento de fenómenos sintácticos ‘difíciles’:– Coordinación y puntuación.– Word order– Non local dependencies.
• No se necesita corpus sintáctico etiquetado.
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• Arquitectura– Modulo1
Input Word
Slot 0 Slot 1 Slot 2 Slot 3 Type S Back, Test & Subcat.
STACK
Stored Context
Current Context
MODULE 1MODULE 1
Parser Commands
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Input Word
Slot 0 Slot 1 Slot 2 Slot 3 Type S Back, Test & Subcat.
Current Context
MODULE 2MODULE 2
Verbo|ARG Adjunto|~Adjunto Coordinable|~CoordinableArg1|Arg2
![Page 11: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/11.jpg)
Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2PUT1
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
The | DT
PUT1
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
The | DT
DT(The)
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
man | DT_N
DT(The)
PUT1
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
DT(The) DT_N(man)
man | DT_N
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
sold | V_MA
PUT0
DT(The) DT_N(man)
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
DT(The) DT_N(man)
sold | V_MA
V_MA(sold)
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
some | DT
PUT2
DT(The) DT_N(man)V_MA(sold)
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
V_MA(sold)
some | DT
DT(The) DT_N(man) DT(some)
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Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Flags
Modul1 Modul2
The man sold some offerings to the president
offerings | DT_N
PUT2
Slot 3V_MA(sold) DT(The) DT_N(man) DT(some)
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Flags
Modul1 Modul2
The man sold some offerings to the president
offerings | DT_N
Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Slot 3V_MA(sold) DT(The) DT_N(man) DT(some) DT_N(offerings)
![Page 22: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/22.jpg)
Flags
Modul1 Modul2
The man sold some offerings to the president
to | IIN_DT
PUT3
Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Slot 3V_MA(sold) DT(The) DT_N(man) DT(some) DT_N(offerings)
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Flags
Modul1 Modul2
The man sold some offerings to the president
to | IIN_DT
Slot 3
Slot 0 Slot 1 Slot 2 Slot 3V_MA(sold) DT(The) DT_N(man) DT(some) DT_N(offerings) to(IIN_DT)
![Page 24: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/24.jpg)
Flags
Modul1 Modul2
The man sold some offerings to the president
the | DT
PUT1
Slot 3
Slot 0 Slot 1 Slot 2 Slot 3V_MA(sold) DT(The) DT_N(man) DT(some) DT_N(offerings) to(IIN_DT)
![Page 25: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/25.jpg)
Flags
Modul1 Modul2
The man sold some offerings to the president
the | DT
Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Slot 3V_MA(sold) DT(The) DT_N(man) DT(some) DT_N(offerings) to(IIN_DT) the(DT)
![Page 26: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/26.jpg)
Flags
Modul1 Modul2
The man sold some offerings to the president
president | DT_N
PUT1
Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Slot 3V_MA(sold) DT(The) DT_N(man) DT(some) DT_N(offerings) to(IIN_DT) the(DT)
![Page 27: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/27.jpg)
Flags
Modul1 Modul2
The man sold some offerings to the president
president | DT_N
Slot 3
Slot 0 Slot 1 Slot 2 Slot 3
Slot 3V_MA(sold) DT(The) DT_N(man) DT(some) DT_N(offerings) to(IIN_DT) the(DT)
president(DT_N)
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Generalized Role Labeling using Propositional Representations
Un ejemplo no tan sencillo:
“The main manager bought some old cars with three wheels.”
![Page 29: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/29.jpg)
Generalized Role Labeling using Propositional Representations
Current
Pred:
A1:
A2:
A3:
Flags:
Input Word: The| DTM1: PUT1M2:
The main manager bought some old cars with three wheels.
![Page 30: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/30.jpg)
Generalized Role Labeling using Propositional Representations
Current
Pred:
A1: The
A2:
A3:
Flags: @1
Input Word: The| DTM1: NEXTM2:
The main manager bought some old cars with three wheels.
![Page 31: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/31.jpg)
Generalized Role Labeling using Propositional Representations
Current
Pred:
A1: The
A2:
A3:
Flags: @NEXT @1
Input Word: main | JJ_PRM1: *IZ-INM2:
The main manager bought some old cars with three wheels.
![Page 32: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/32.jpg)
Generalized Role Labeling using Propositional Representations
Current
Pred:
A1:
A2:
A3:
Flags:
Input Word: main| JJ_PRM1: PUT0M2:
The main manager bought some old cars with three wheels.
Top
Pred:
A1: The
A2:
A3:
Flags: @1
![Page 33: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/33.jpg)
Generalized Role Labeling using Propositional Representations
Current
Pred: main
A1:
A2:
A3:
Flags:
Input Word: main| JJ_PRM1: NEXTM2:
The main manager bought some old cars with three wheels.
Top
Pred:
A1: The
A2:
A3:
Flags: @1
![Page 34: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/34.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: manager| DT_NM1: PUT1M2:
The main manager bought some old cars with three wheels.
Current
Pred: main
A1:
A2:
A3:
Flags: @NEXT
Top
Pred:
A1: The
A2:
A3:
Flags: @1
![Page 35: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/35.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: manager| DT_NM1: OZ-OUTM2:
The main manager bought some old cars with three wheels.
Current
Pred: main
A1: manager
A2:
A3:
Flags: @NEXT
Top
Pred:
A1: The
A2:
A3:
Flags: @1
![Page 36: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/36.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: manager| DT_NM1: PUT1M2:
The main manager bought some old cars with three wheels.
Current
Pred:
A1: The
A2:
A3:
Flags: @1 @OZ-OUT
P:main|A1:manager
![Page 37: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/37.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: manager| DT_NM1: NEXTM2:
The main manager bought some old cars with three wheels.
Current
Pred:
A1: The manager
A2:
A3:
Flags: @1 @OZ-OUT
P:main|A1:manager
![Page 38: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/38.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: bought| V_MAM1: PUT0M2:
The main manager bought some old cars with three wheels.
Current
Pred:
A1: The manager
A2:
A3:
Flags: @1 @NEXT
P:main|A1:manager
![Page 39: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/39.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: bought| V_MAM1: NEXTM2:
The main manager bought some old cars with three wheels.
Current
Pred: bought
A1: The manager
A2:
A3:
Flags: @0
P:main|A1:manager
![Page 40: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/40.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: some| DTM1: PUT2M2:
The main manager bought some old cars with three wheels.
Current
Pred: bought
A1: The manager
A2:
A3:
Flags: @0 @NEXT
P:main|A1:manager
![Page 41: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/41.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: some| DTM1: NEXTM2:
The main manager bought some old cars with three wheels.
Current
Pred: bought
A1: The manager
A2: some
A3:
Flags: @2
P:main|A1:manager
![Page 42: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/42.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: old| JJ_PRM1: *IZ-INM2:
The main manager bought some old cars with three wheels.
Current
Pred: bought
A1: The manager
A2: some
A3:
Flags: @2 @NEXT
P:main|A1:manager
![Page 43: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/43.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: old| JJ_PRM1: PUT0M2:
The main manager bought some old cars with three wheels.
Current
Pred:
A1:
A2:
A3:
Flags: @IZ-IN
P:main|A1:manager
Top
Pred: bought
A1: The manager
A2: some
A3:
Flags: @2
![Page 44: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/44.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: old| JJ_PRM1: NEXTM2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred: old
A1:
A2:
A3:
Flags: @IZ-IN @0
Top
Pred: bought
A1: The manager
A2: some
A3:
Flags: @2
![Page 45: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/45.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: cars | DT_NM1: PUT1M2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred: old
A1:
A2:
A3:
Flags: @IZ-IN
@NEXT @0
Top
Pred: bought
A1: The manager
A2: some
A3:
Flags: @2
![Page 46: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/46.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: cars | DT_NM1: OZ-OUTM2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred: old
A1: cars
A2:
A3:
Flags: @IZ-IN
@NEXT @1
Top
Pred: bought
A1: The manager
A2: some
A3:
Flags: @2
![Page 47: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/47.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: cars | DT_NM1: PUT2M2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred: bought
A1: The manager
A2: some
A3:
Flags: @2
P:old|A1:cars
![Page 48: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/48.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: cars | DT_NM1: NEXTM2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
P:old|A1:cars
![Page 49: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/49.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: with | IIN_DTM1: IZ-IN1M2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2 @NEXT
P:old|A1:cars
![Page 50: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/50.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: with | IIN_DTM1: PUT2M2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred:
A1: cars
A2:
A3:
Flags: @1
P:old|A1:cars
Top
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
![Page 51: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/51.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: with | IIN_DTM1: NEXTM2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred:
A1: some cars
A2: with
A3:
Flags: @2
P:old|A1:cars
Top
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
![Page 52: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/52.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: three | DTM1: PUT2M2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred:
A1: some cars
A2: with
A3:
Flags: @2 @NEXT
P:old|A1:cars
Top
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
![Page 53: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/53.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: three | DTM1: NEXTM2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred:
A1: some cars
A2: with three
A3:
Flags: @2
P:old|A1:cars
Top
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
![Page 54: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/54.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: wheels| DT_NM1: PUT2M2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred:
A1: some cars
A2: with three
A3:
Flags: @2 @NEXT
P:old|A1:cars
Top
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
![Page 55: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/55.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: wheels| DT_NM1: NEXTM2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred:
A1: some cars
A2:with three wheels
A3:
Flags: @2
P:old|A1:cars
Top
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
![Page 56: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/56.jpg)
Generalized Role Labeling using Propositional Representations
Input Word: .| DOTM1: OZ-OUTM2:
The main manager bought some old cars with three wheels.
P:main|A1:manager
Current
Pred:
A1: some cars
A2:with three wheels
A3:
Flags: @2 @NEXT
P:old|A1:cars
Top
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
![Page 57: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/57.jpg)
Input Word: .| DOTM1: OZ-OUTM2:
P:main|A1:manager
Current
Pred: bought
A1: The manager
A2: some cars
A3:
Flags: @2
P:old|A1:cars
Generalized Role Labeling using Propositional Representations
The main manager bought some old cars with three wheels.
A1:cars|A2:with three wheels
![Page 58: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/58.jpg)
Input Word: .| DOTM1: FINM2:
P:main|A1:manager
P:old|A1:cars
Generalized Role Labeling using Propositional Representations
The main manager bought some old cars with three wheels.
A1:cars|A2:with three wheels
P:bought|A1the managerA2:some cars
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Training set
• SS-3-2- (DT_N I PUT1 NEXT)• SS-3-2- (V_MA took PUT0 NEXT)• SS-3-3- (DT_N her PUT2 NEXT)• SS-3-4- (IIN_DT to PUT3 NEXT)• SS-3-5- (DT_N school PUT3 NEXT)• SS-3-6- (. . OZ-OUT NEXT)• SS-3-7- (FIN)
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‘Elementary expressions’
• The non-callable issue, which can be put_back to the company in 1999, is priced at 99 basis_points above the Treasury 10-year note.
Current
Pred: non-callable
A1: issue
A2:
A3:
Flags:
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‘Elementary expressions’
• The non-callable issue, which can be put_back to the company, is priced at 99 basis_points above the Treasury 10-year note.
Current
Pred:can be put_back
A1:
A2: the issue
A3: to the company
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‘Elementary expressions’
• The non-callable issue, which can be put_back to the company, is priced at 99 basis_points above the Treasury 10-year note.
Current
Pred:is priced
A1:
A2: the issue
A3: at 99 basis_points
![Page 63: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/63.jpg)
‘Elementary expressions’
• The non-callable issue, which can be put_back to the company, is priced at 99 basis_points above the Treasury 10-year note.
Current
Pred:
A1: 99 basis_points
A2: above the
A3:
![Page 64: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/64.jpg)
‘Elementary expressions’
• The non-callable issue, which can be put_back to the company, is priced at 99 basis_points above the Treasury 10-year note.
Current
Pred:
A1:
A2: treasury
A3:
![Page 65: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/65.jpg)
‘Elementary expressions’
• The non-callable issue, which can be put_back to the company, is priced at 99 basis_points above the Treasury 10-year note.
Current
Pred:
A1: note
A2: 10-year
A3:
![Page 66: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/66.jpg)
‘Elementary expressions’
• The non-callable issue, which can be put_back to the company, is priced at 99 basis_points above the Treasury 10-year note.
Current
Pred:
A1: note
A2: Treasury
A3:
![Page 67: Semantic Parsing based on Propositional Representations Fernandez, Sopena, Padró](https://reader036.vdocuments.mx/reader036/viewer/2022062511/551aa39d5503466b3a8b58a0/html5/thumbnails/67.jpg)
‘Elementary expressions’
• The non-callable issue, which can be put_back to the company, is priced at 99 basis_points above the Treasury 10-year note.
Current
Pred:is priced
A1:
A2: the issue
A3: at 99 basis_points
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Training set• SS-17-1- (DT_N IMB PUT1 NEXT)• SS-17-2- (V_MA bought PUT0 NEXT)• SS-17-3- (DT the PUT2 NEXT)• SS-17-4- (DT_N team PUT2 NEXT)• SS-17-5- (IIN_DT from PUT3 NEXT)• SS-17-6- (DT_N BUMBRIGHT PUT3 NEXT)• SS-17-7- (IIN_DT for CONSTRUAL PUT2 NEXT)
• SS-17-8- (DT 145.000 PUT2 &BACK OZ-OUT PUT3 NEXT)
• SS-17-9- (DT_N $ PUT3 NEXT)• SS-17-10- (. . OZ-OUT NEXT)• SS-17-11- (FIN)
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FIN