1 Introduction SRL:
APLICATIONS:
Information extraction
Question ansering
Summarization
MT
NLP tasks
major conclusion of that work is that the patterns of syntactic alternation exhibit regularity that reflects an underlying semantic similarity among verbs, forming the basis for verb classes major conclusion of that work is that the patterns of syntactic alternation exhibit regularity that reflects an underlying semantic similarity among verbs, forming the basis for verb classes ?? what it means?
2 Semantic roles in linguistics
3 From Linguistic Theory to computational resources:
2002 first statistical machine learning approach to SRL
Verb lexicon
Proposition bank
Each verb has a framset listing its allowed role labeling.
Arg0, arg1 -> to be specific with semantic roles
Abstract semantic role: agent, theme, location.
4 Approaches to automatic SRL:
Only supervised approach.
4.1 SRL Step by Step
First step: filtering or pruning.
The second step consists of a local scoring of argument candidates: argument identification and classification.
The third : joint scoring.
FRAME SEMANTICS:
Syntactic-oriented arguments and adjuncts
frame semantics core and peripheral.
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posible topics :
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