A Contextual Dynamic Network Model for WSD Using Associative Concept Dictionary

Many of the Japanese ideographs (Chinese characters) have a few meanings. Such ambiguities should be identified by using their contextual information. For example, we have an ideograph which has two pronunciations, /hitai/ and /gaku/, the former means a forehead of the human body and the latter has two meanings, an amount of money and a picture frame. Conventional methods for such a disambiguation problem have been using statistical methods with co-occurrence of words in their context. In this research, Contextual Dynamic Network Model is developed using the Associative Concept Dictionary which includes semantic relations among concepts/words and the relations can be represented with quantitative distances. In this model, an interactive activation method is used to identify a word's meaning on the Contextual Semantic Network where the activation on the network is calculated using the distances. The proposed method constructs dynamically the Contextual Semantic Network according t...

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Jun Okamoto, Kiyoko Uchiyama, Shun Ishizaki
• Keywords: Contextual Dynamic Network, Contextual Information, Contextual Semantic Network, Education, LREC 2008