We describe the annotation of a new dataset for German Named Entity Recognition (NER).
The need for this dataset is motivated by licensing issues and consistency issues of existing …

Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …

Swiss dialects of German are, unlike many dialects of other standardised languages, widely
used in everyday communication. Despite this fact, automatic processing of Swiss German is …

This paper presents three systems submitted to the German Dialect Identification (GDI) task
at the VarDial Evaluation Campaign 2017. The task consists of training models to identify the …

This paper describes the construction of deeply annotated spoken dialogue corpora. To
ensure a maximum of flexibility—in the degree of normalization, the types and formats of …

Coreference resolution is the task of grouping together references to the same discourse
entity. Resolving coreference in literary texts could benefit a number of Digital Humanities …

Less-configurational languages such as German often show not just morphological variation
but also free word order and nonprojectivity. German is not exceptional in this regard, as …

Effectively managing the collaboration of many annotators is a crucial ingredient for the
success of larger annotation projects. For collaboration, web-based tools offer a low-entry …

Named Entity Recognition (NER) is a fundamental task to extract key information from texts,
but annotated resources are scarce for dialects. This paper introduces the first dialectal NER …

We propose a morphologically-informed neural Sequence to Sequence (Seq2Seq)
architecture for lemmatization. We evaluate the architecture on German and compare it to a …