Publication
Combining Data-Driven Constituent and Dependency Parsers for CIPS-ParsEval-2009
Rui Wang; Yi Zhang; Wei Qiu; Mosha Chen; Tingyu Li; Wenbo Zhang; Tianfang Yao
Chinese Information Processing Society, 2009.
Abstract
In this paper, we describe our Chinese parsing system participated in
the CIPS-ParsEval-2009 evaluation task 5. Two open source data driven
parsing systems are used: constituent tree parsing with Berkeley's
Parser, and dependency parsing with MSTParser. The results are
combined to produce the phrase structure trees with head
indices. Results show that the Berkeley parser achieved close to
state-of-the-art performance on constituent tree parsing without head
indices. And the combination gives us good partial-head identification
accuracy. However the poor performance on full head identification
indicates that the combination cannot handle the cases well where
multiple heads exist.