Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data
Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data
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发表时间：
2013-10
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通讯作者：
V. Kolhatkar;Heike Zinsmeister;Graeme Hirst
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作者：
V. Kolhatkar;Heike Zinsmeister;Graeme Hirst
解释回指外壳名词（ASN），如这个问题和这个事实是必不可少的理解几乎任何实质性的自然语言文本。开发自动解释ASN的方法的一个障碍是缺乏注释数据。我们通过利用其结构使其特别容易解释的后指外壳名词（CSN）来应对这一挑战（例如，X的事实）。我们提出了一种方法，使用自动提取的CSN的前因作为训练数据来解释ASN。我们实现的精度范围为0.35（基线= 0.21）到0.72（基线= 0.44），这取决于外壳名词。
Interpreting anaphoric shell nouns (ASNs) such as this issue and this fact is essential to understanding virtually any substantial natural language text. One obstacle in developing methods for automatically interpreting ASNs is the lack of annotated data. We tackle this challenge by exploiting cataphoric shell nouns (CSNs) whose construction makes them particularly easy to interpret (e.g., the fact that X). We propose an approach that uses automatically extracted antecedents of CSNs as training data to interpret ASNs. We achieve precisions in the range of 0.35 (baseline = 0.21) to 0.72 (baseline = 0.44), depending upon the shell noun.