Frame Semantics, Constructions, and the FrameNet Lexical Database

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Annotation • Annotator chooses “good_ examples of each lexicographically relevant syntactic pattern (“alternations”) • All core FEs found are annotated for each sentence • If the predicator is a verb, core FEs not expressed in the sentence are annotated as “null instantiated_
Annotation • Each annotation set contains labels on multiple layers: FE, GF, PT, etc. • GF and PT added semi-automatically • Process allows multiple targets (annotation sets) per sentence (not needed for lexicographic work) • Goal is ~15-20 clear examples / LU
Page 1 and 2: Frame Semantics, Constructions, and
Page 3 and 4: Background
Page 5 and 6: Fillmore on Frame Semantics • 197
Page 7 and 8: A Non-lexical Construction
Page 10 and 11: Embodied Conx Grammar • http://ww
Page 12 and 13: What is a semantic frame? What do y
Page 14 and 15: Frame Elements (FEs) • Frame Elem
Page 16 and 17: LU Definitions • In addition to t
Page 18 and 19: Placing Frame: FEs • Agent/Cause
Page 20 and 21: Placing Frame: Annotation • [Euro
Page 22 and 23: Revenge Frame: Definition • This
Page 24 and 25: Core FEs • Inherent in the concep
Page 26 and 27: Extra-thematic FEs • Not actually
Page 28 and 29: Revenge Frame: Annotation • 1. [T
Page 30 and 31: Text frame: FEs • Core - Text •
Page 32 and 33: Text Frame: Annotation • [Shusaku
Page 34 and 35: Apply heat frame: FEs • Core - Co
Page 36 and 37: Apply heat frame: Annotation • 1.
Page 38 and 39: The art of frame definition • Not
Page 40 and 41: “Vanguarding” • Frames, FEs,
Page 44 and 45: Retaliate: Annotation report
Page 46 and 47: Representing Frame Semantic Concept
Page 48 and 49: FE-to-FE relations across frames
Page 50 and 51: Inheritance • All FEs of parent a
Page 57 and 58: Using
Page 59 and 60: Causative of and Inchoative of Caus
Page 61: What happened to thematic roles?
Page 64 and 65: Traditional roles don’t fit (2)
Page 66 and 67: FE-to-FE relations within frames (2
Page 68: FN Semantic Types • Ontological t
Page 72 and 73: Full text annotation
Page 74 and 75: In October 2002, the U.S. State Dep
Page 76 and 77: Inform • The meaning of inform th
Page 78 and 79: Other patterns with Telling.inform?
Page 80 and 81: Awareness.aware Cognizer TARGET Con
Page 84 and 85: Regard • Regard, in the Categoriz
Page 86 and 87: Compliance.violation Act Target Nor
Page 90 and 91: Commitment • The noun commitment
Page 92 and 93:
Full Text Annotation • Text annot
Page 94 and 95:
PropBank • Closest annotation pro
Page 96:
NIs and anaphora resolution • The
Page 99 and 100:
Automation or Can’t this be done
Page 101 and 102:
Frame assignment as WSD • Title o
Page 103 and 104:
Shalmaneser • Erk & Padó 2006 LR
Page 105 and 106:
"Rapid Vanguarding" • Using princ
Page 109 and 110:
Bootstrapping annotation • We are
Page 111 and 112:
Information Extraction • Mohit an
Page 113 and 114:
Textual Entailment • Aljoscha Bur
Page 115 and 116:
Related projects
Page 117 and 118:
FrameNets in other Languages • Sp
Page 119 and 120:
Japanese FrameNet • Own Corpus (2
Page 121 and 122:
FrameNets by Projection • English
Page 123 and 124:
Soccer FrameNet • Thomas Schmidt,
Page 125 and 126:
Linking FN to SUMO • Jan Scheffcz
Page 127 and 128:
Data releases • Fifth data releas
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Frame Semantics, Constructions, and the FrameNet Lexical Database

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