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Robust Syntactic Annotation of Corpora and Memory-Based Parsing
( Erhard W Hinrichs ) 한국언어정보학회 2002 국제 워크샵 Vol.2002 No.-
This talk provides an overview of current work in my research group on the syntactic annotation of the Tiibingen corpus of spoken German and of the German Reference Corpus (Deutsches Referenzkorpus: DEREKO) of written texts. Morpho-syntactic and syntactic annotation as well as annotation of function-argument structure for these corpora is performed automatically by a hybrid architecture that combines robust symbolic parsing with finite-state methods ("chunk parsing" in the sense Abney) with memory-based parsing (in the sense of Daelemans). The resulting robust annotations can be used by theoretical linguists, who are interested in large-scale, empirical data, and by computational linguists, who are in need of training material for a wide range of language technology applications. To aid retrieval of annotated trees from the treebank, a query tool VIQTORYA with a graphical user interface and a logic-based query language has been developed. VIQTORYA allows users to query the treebanks for linguistic structures at the word level, at the level of individual phrases, and at the clausal level.
Classifying Semantic Relations in German Nominal Compounds using a Hybrid Annotation Scheme
( Daniil Sorokin ),( Corina Dima ),( Erhard Hinrichs ) 서울대학교 인지과학연구소 2015 Journal of Cognitive Science Vol.16 No.3
This paper reports on novel results for the automatic classification of semantic relations that hold between the constituents of nominal compounds in German. It utilizes a hybrid annotation scheme that models semantic relations using a combination of prepositional paraphrases and semantic properties. The machine learning (ML) experiments use the support vector machine (SVM) implementation in Weka for single-label prediction tasks and Weka SVMs in conjunction with the Mulan library for multi-label prediction.