Large-scale Polish SLU
Patrick Lehnen, Stefan Hahn, Hermann Ney, Agnieszka Mykowiecka · 2009
In this paper, we present state-of-the art concept tagging results on a new corpus for Polish SLU.For this language, it is the first large-scale corpus (~200 different concepts) which has been semantically annotated and will be made publicly available.Conditional Random Fields have proven to lead to best results for string-to-string translation problems.Using this approach, we achieve a concept error rate of 22.6% on an evaluation corpus.To additionally extract attribute values, a combination of a statistical and a rule-based approach is used leading to a CER of 30.2%.