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概要

• 論文の詳細を見る

• The referential properties of noun phrases are useful for article generation in Japanese-English machine translation and in anaphora resolution in Japanese same noun phrases and are generally classified into generic noun phrases, definite noun phrases and indefinite noun phrases. In the previous work, an estimation of referential properties was done by developing rules that used clue words. If two or more rules were in conflict with each other, the category having the maximum total score given by the rules was selected as the desired category. The score given by each rule was established by hand, so the manpower cost was high. This paper describes a machine learning method that reduces the amount of manpower needed to adjust these scores.

• 言語処理学会の論文

言語処理学会 | 論文

• 複合語の分野連想語の効率的決定法
• クラス指向事例収集手法による言い換えコーパスの構築
• 動詞項構造辞書への大規模用例付与
• 言い換え技術に関する研究動向
• Morpho-Syntactic Rules for Detecting Japanese Term Variation: Establishment and Evaluation

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