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6 : X MD VB to (**) ? Y
compromise between
constrained and marginal structures
excessively permissive structures
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Semantic relations
Relation Extraction
Pattern Approaches
Pattern based relation extraction
Example
“The heads report to the vice president”
lexical pattern : X report to Y
lexico-syntactic pattern :
PREPORT
1 : X report to the Y
PREPORT
2 : X VB IN DT Y
PREPORT
3 : X MD VB to DT Y
PREPORT
3 a : X MD VB[report] to DT Y
PREPORT
4 : X MD [report] to the Y
PREPORT
5 : X (JJ) ? VB to the Y
PREPORT
6 : X MD VB to (**) ? Y
compromise between
constrained and marginal structures
excessively permissive structures
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Semantic relations
Relation Extraction
Pattern Approaches
Pattern based relation extraction
Example
“The heads report to the vice president”
lexical pattern : X report to Y
lexico-syntactic pattern :
PREPORT
1 : X report to the Y
PREPORT
2 : X VB IN DT Y
PREPORT
3 : X MD VB to DT Y
PREPORT
3 a : X MD VB[report] to DT Y
PREPORT
4 : X MD [report] to the Y
PREPORT
5 : X (JJ) ? VB to the Y
PREPORT
6 : X MD VB to (**) ? Y
“The heads will directly report to the executive vice president”
compromise between
constrained and marginal structures
excessively permissive structures
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Semantic relations
Relation Extraction
Pattern Approaches
Patterns for ontology enrichment
NLP Preprocessing
tokenization
lemmatization
POS tagging
Processing steps
1 Pattern building
2 Pattern matching process
3 Mapping of the terms related by the pattern to ontoly lexicon
Identification of the concepts
Identification of the structural level
Hypothesis
several patterns express the same relation
possible relation types depend on the corpus
for a given relation type, patterns depend on the corpus
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Cameleon
Evalution
Going further evaluation
1 State of the art
2 Pattern Approach Contribution
Cameleon
Evalution
Going further evaluation
3 Framework
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Cameleon
Evalution
Going further evaluation
A support for relation extraction
2 - Concept and
relation definition
1 – Identify
semantically
rich phrases
Corpus
Lexical relations
in phrases Conceptual relations Formal Relations
4 - Knowledge
representation
Def-concept A:B
role a-pour-partie
role
3 - Normalization Text selection defines a
corpus
NLP helps during step 1
Human interpretation is
required for steps 2 and 3
Caméléon : supports
steps 1 and 2
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Cameleon
Evalution
Going further evaluation
Pattern definition in Caméléon
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Cameleon
Evalution
Going further evaluation
Pattern definition in Caméléon
BEGIN
Context
X
Context
Y
END
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Cameleon
Evalution
Going further evaluation
Pattern definition in Caméléon
Marie Chagnoux, Nathalie Hernandez, Nathalie Aussenac Pattern-based Approach
State of the art
Pattern Approach Contribution
Framework
Cameleon
Evalution
Going further evaluation
Evaluation
Method
Define 71 reusable patterns for French (adapted from linguistic studies)
　
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