acl acl2013 acl2013-97 acl2013-97-reference knowledge-graph by maker-knowledge-mining
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Author: Mo Yu ; Tiejun Zhao ; Yalong Bai ; Hao Tian ; Dianhai Yu
Abstract: Cross-lingual projection methods can benefit from resource-rich languages to improve performances of NLP tasks in resources-scarce languages. However, these methods confronted the difficulty of syntactic differences between languages especially when the pair of languages varies greatly. To make the projection method well-generalize to diverse languages pairs, we enhance the projection method based on word alignments by introducing target-language word representations as features and proposing a novel noise removing method based on these word representations. Experiments showed that our methods improve the performances greatly on projections between English and Chinese.
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