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Found 7 papers, 0 papers with code
What do we need to know about an unknown word when parsing German
We propose a new type of subword embedding designed to provide more information about unknown compounds, a major source for OOV words in German.
Evaluating LSTM models for grammatical function labelling
To improve grammatical function labelling for German, we augment the labelling component of a neural dependency parser with a decision history.
Evaluating a Dependency Parser on DeReKo
We evaluate a graph-based dependency parser on DeReKo, a large corpus of contemporary German.
Neural Reranking for Dependency Parsing: An Evaluation
We show that the GCN not only outperforms previous models on English but is the only model that is able to improve results over the baselines on German and Czech.
Parsers Know Best: German PP Attachment Revisited
In particular, we show that using gold information for the extraction of attachment candidates as well as a missing comparison of the system{'}s output to the output of a full syntactic parser leads to an overly optimistic assessment of the results.
