My paper related to NER was accepted in CIKM 2017. Its abstract is as follows:
Korean named-entity
recognition (NER) systems have been developed mainly on the morphological-level, and they are commonly based on a pipeline framework that
identifies named-entities (NEs) following the morphological analysis. However,
this framework can mean that the performance of NER systems is degraded,
because errors from the morphological analysis propagate into NER systems. This
paper proposes a novel syllable-level NER system, which does not require a
morphological analysis and can achieve a similar or better performance compared
with the morphological-level NER systems. In addition, because the proposed
system does not require a morphological analysis step, its processing speed is
about 1.9 times faster than those of the previous morphological-level NER systems.
CIKM 2017 will be held in Singapore, July 6-10, 2017.
