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• W2252116857 abstract "Near-synonym sets represent groups of words with similar meaning, which are useful knowledge resources for many natural language applications such as query expansion for information retrieval (IR) and computer-assisted language learning. However, near-synonyms are not necessarily interchangeable in contexts due to their specific usage and syntactic constraints. Previous studies have developed various methods for near-synonym choice in English sentences. To our best knowledge, there is no such evaluation on Chinese sentences. Therefore, this paper implements two baseline systems: pointwise mutual information (PMI) and a 5-gram language model that are widely used in previous work for Chinese nearsynonym choice evaluation. Experimental results show that the 5-gram language model achieves higher accuracy than PMI." @default.
• W2252116857 created "2016-06-24" @default.
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• W2252116857 date "2011-11-08" @default.
• W2252116857 modified "2023-09-23" @default.
• W2252116857 title "A Baseline System for Chinese Near-Synonym Choice" @default.
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