In this paper we show how the task of syntactic parsing of non-segmented texts, including compound recognition, can be represented as constraints between phrase-structure parsers and CRF sequence labellers. In order to build a joint system we use dual decomposition, a way to combine several elementary systems which has proven successful in various NLP tasks. We evaluate this proposition on the French SPMRL corpus. This method compares favorably with pipeline architectures and improves state-of-the-art results.
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