Abstract
It is difficult to
automatically extract a metaphor from Chinese poetry. In Chinese poetry, a
metaphor appears when a word has a different, implicit connotation from its
original, explicit significance. The meaning of a word in a non-literary text
is its original, explicit sense. Thereby, we assume the metaphorical word,
which has different nuances in a poem and non-literary texts (which form a
semantically inconsistent pair). Depending on the text, a word is semantically
inconsistent. For example, a “moon” is a satellite of the Earth in a
non-literary setting, while in the poem “Quiet Night Thoughts,” the term “moon”
means homesickness. Hence, the “moon” is an SIP in “Quiet Night Thoughts” and
non-literary texts. This paper aims to detect SIPs in Chinese poems and
non-literary texts. In particular, we discern SIP based on latent Dirichlet
allocation (LDA) topic modeling. Subsequently, the proposed method has been
evaluated by discovering SIP in Chinese poetry and non-literary texts.
Keywords:
Chinese poetry; Metaphor detection; Semantically inconsistent pair (SIP); Topic
modeling; Latent Dirichlet Allocation (LDA).
Contents
1.
Introduction
2. Related
Work
3.
Methodology
4.
Experimental Results
5.
Conclusion |
