Non-linear Similarity Learning for Semantic Compositionality
نویسندگان
چکیده
منابع مشابه
Non-Linear Similarity Learning for Compositionality
Many NLP applications rely on the existence of similarity measures over text data. Although word vector space models provide good similarity measures between words, phrasal and sentential similarities derived from composition of individual words remain as a difficult problem. In this paper, we propose a new method of of non-linear similarity learning for semantic compositionality. In this metho...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2016
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.o-fa2