Combining a Rule-Based Approach and Machine Learning in a Good-Example Extraction Task for the Purpose of Lexicographic Work on Contemporary Standard German (Q8134): Difference between revisions

Combining a Rule-Based Approach and Machine Learning in a Good-Example Extraction Task for the Purpose of Lexicographic Work on Contemporary Standard German (English)

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publication date

2015

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first author location

Berlin

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event

eLex 2015

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containing BibCollection

Electronic lexicography in the 21st century: Linking lexical data in the digital age. Proceedings of eLex 2015

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Elexifinder collection

1

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1

Lothar Lemnitzer

given name source literal

Lothar

family name source literal

Lemnitzer

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Christian Pölitz

series ordinal

2

source literal

Christian Pölitz

given name source literal

Christian

family name source literal

Pölitz

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Jörg Didakowski

series ordinal

3

source literal

Jörg Didakowski

given name source literal

Jörg

family name source literal

Didakowski

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Alexander Geyken

series ordinal

4

source literal

Alexander Geyken

given name source literal

Alexander

family name source literal

Geyken

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download location

https://elex.link/elex2015/proceedings/eLex_2015_02_Lemnitzer+etal.pdf

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contains term

citation

mention count

29

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lemma

mention count

19

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syntactic parsing

mention count

10

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corpus

mention count

8

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machine learning

mention count

5

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example sentence

mention count

4

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lexical unit

mention count

3

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positive polarity

mention count

2

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pronoun

mention count

2

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spelling

mention count

1

0 references

@@ description / en / description / en @@
-an article
+Publication by Lemnitzer et al. (2015)
@@ Property / LexBib v2 legacy ID @@
-Q2978
@@ Property / LexBib v2 legacy ID: Q2978 / rank @@
-Normal rank
@@ Property / distribution location @@
-https://elex.link/elex2015/proceedings/eLex_2015_02_Lemnitzer+etal.pdf
-Normal rank
@@ Property / author / Property / author @@
-no value
+Lothar Lemnitzer
@@ Property / author / Property / author @@
-no value
+Christian Pölitz
@@ Property / author / Property / author @@
-no value
+Jörg Didakowski
@@ Property / author / Property / author @@
-no value
+Alexander Geyken
@@ Property / author: Alexander Geyken / qualifier @@
+series ordinal: 4
@@ Property / author: Alexander Geyken / qualifier @@
+source literal: Alexander Geyken
@@ Property / author: Alexander Geyken / qualifier @@
+given name source literal: Alexander
@@ Property / author: Alexander Geyken / qualifier @@
+family name source literal: Geyken
@@ Property / download location @@
+https://elex.link/elex2015/proceedings/eLex_2015_02_Lemnitzer+etal.pdf
+Normal rank
@@ Property / contains term @@
+citation
@@ Property / contains term: citation / rank @@
+Normal rank
@@ Property / contains term: citation / qualifier @@
+mention count: 29
@@ Property / contains term @@
+lemma
@@ Property / contains term: lemma / rank @@
+Normal rank
@@ Property / contains term: lemma / qualifier @@
+mention count: 19
@@ Property / contains term @@
+syntactic parsing
@@ Property / contains term: syntactic parsing / rank @@
+Normal rank
@@ Property / contains term: syntactic parsing / qualifier @@
+mention count: 10
@@ Property / contains term @@
+corpus
@@ Property / contains term: corpus / rank @@
+Normal rank
@@ Property / contains term: corpus / qualifier @@
+mention count: 8
@@ Property / contains term @@
+machine learning
@@ Property / contains term: machine learning / rank @@
+Normal rank
@@ Property / contains term: machine learning / qualifier @@
+mention count: 5
@@ Property / contains term @@
+example sentence
@@ Property / contains term: example sentence / rank @@
+Normal rank
@@ Property / contains term: example sentence / qualifier @@
+mention count: 4
@@ Property / contains term @@
+lexical unit
@@ Property / contains term: lexical unit / rank @@
+Normal rank
@@ Property / contains term: lexical unit / qualifier @@
+mention count: 3
@@ Property / contains term @@
+positive polarity
@@ Property / contains term: positive polarity / rank @@
+Normal rank
@@ Property / contains term: positive polarity / qualifier @@
+mention count: 2
@@ Property / contains term @@
+pronoun
@@ Property / contains term: pronoun / rank @@
+Normal rank
@@ Property / contains term: pronoun / qualifier @@
+mention count: 2
@@ Property / contains term @@
+spelling
@@ Property / contains term: spelling / rank @@
+Normal rank
@@ Property / contains term: spelling / qualifier @@
+mention count: 1