It is my pleasure to announce the release of HeidelTime, a new temporal tagger.
HeidelTime
performed best at the TempEval-2 challenge for both, the extraction and
the normalization of temporal expressions (for English). Currently,
HeidelTime supports two languages, English and German. Due to the strict
separation of the source code and language resources like patterns and
rules, HeidelTime is easily extensible to further languages. For the
normalization of temporal expressions, different normalization
strategies are applied depending on the document type. In particular,
HeidelTime distinguishes between news-style and narrative-style
documents. We evaluated HeidelTime on several corpora and achieve very
good results.
HeidelTime is available as UIMA-component and as standalone version. Additional information and a download links can be find on: http://dbs.ifi.uni-heidelberg.de/heideltime