期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2011
卷号：2011
出版社：ACL Anthology
摘要：We explore a semi-supervised approach for
improving the portability of time expression
recognition to non-newswire domains: we
generate additional training examples by
substituting temporal expression words with
potential synonyms. We explore using
synonyms both from WordNet and from the
Latent Words Language Model (LWLM),
which predicts synonyms in context using
an unsupervised approach. We evaluate a
state-of-the-art time expression recognition
system trained both with and without the
additional training examples using data from
TempEval 2010, Reuters and Wikipedia.
We find that the LWLM provides substantial
improvements on the Reuters corpus,
and smaller improvements on the Wikipedia
corpus. We find that WordNet alone never
improves performance, though intersecting
the examples from the LWLM and WordNet
provides more stable results for Wikipedia.
