Konferenzbeitrag
How to Compare Treebanks
Recent years have seen an increasing interest in developing standards for linguistic annotation, with a focus on the interoperability of the resources. This effort, however, requires a profound knowledge of the advantages and disadvantages of linguistic annotation schemes in order to avoid importing the flaws and weaknesses of existing encoding schemes into the new standards. This paper addresses the question how to compare syntactically annotated corpora and gain insights into the usefulness of specific design decisions. We present an exhaustive evaluation of two German treebanks with crucially different encoding schemes. We evaluate three different parsers trained on the two treebanks and compare results using EVALB, the Leaf-Ancestor metric, and a dependency-based evaluation. Furthermore, we present TePaCoC, a new testsuite for the evaluation of parsers on complex German grammatical constructions. The testsuite provides a well thought-out error classification, which enables us to compare parser output for parsers trained on treebanks with different encoding schemes and provides interesting insights into the impact of treebank annotation schemes on specific constructions like PP attachment or non-constituent coordination.
- Sprache
-
Englisch
- Thema
-
Korpus <Linguistik>
Syntaktische Analyse
Sprache
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Kübler, Sandra
Maier, Wolfgang
Rehbein, Ines
Versley, Yannick
- Ereignis
-
Veröffentlichung
- (wer)
-
Paris : European Language Resources Association
- (wann)
-
2017-01-09
- URN
-
urn:nbn:de:bsz:mh39-57520
- Letzte Aktualisierung
-
06.03.2025, 09:00 MEZ
Datenpartner
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Konferenzbeitrag
Beteiligte
- Kübler, Sandra
- Maier, Wolfgang
- Rehbein, Ines
- Versley, Yannick
- Paris : European Language Resources Association
Entstanden
- 2017-01-09
Ähnliche Objekte (12)
Why is it so difficult to compare treebanks? TIGER and TüBa-D/Z revisited
Data point selection for self-training
POS error detection in automatically annotated corpora
Parsing German: How Much Morphology Do We Need?
A New Resource for German Causal Language
Treebank Annotation Schemes and Parser Evaluation for German
There’s no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
Evaluating Evaluation Measures
Towards a syntactically motivated analysis of modifiers in German
Detecting the boundaries of sentence-like units on spoken German
Data point selection for genre-aware parsing
Evaluating the Impact of Coder Errors on Active Learning
Why is it so difficult to compare treebanks? TIGER and TüBa-D/Z revisited
Data point selection for self-training
POS error detection in automatically annotated corpora
Parsing German: How Much Morphology Do We Need?
A New Resource for German Causal Language
Treebank Annotation Schemes and Parser Evaluation for German
There’s no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
Evaluating Evaluation Measures
Towards a syntactically motivated analysis of modifiers in German
Detecting the boundaries of sentence-like units on spoken German
Data point selection for genre-aware parsing
Evaluating the Impact of Coder Errors on Active Learning
Why is it so difficult to compare treebanks? TIGER and TüBa-D/Z revisited
Data point selection for self-training
POS error detection in automatically annotated corpora
Parsing German: How Much Morphology Do We Need?
A New Resource for German Causal Language
Treebank Annotation Schemes and Parser Evaluation for German
There’s no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
Evaluating Evaluation Measures
Towards a syntactically motivated analysis of modifiers in German
Detecting the boundaries of sentence-like units on spoken German
Data point selection for genre-aware parsing