首页> 外文会议>9th International conference on language resources and evaluation >An Exercise in Reuse of Resources: Adapting General Discourse Coreference Resolution for Detecting Lexical Chains in Patent Documentation
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An Exercise in Reuse of Resources: Adapting General Discourse Coreference Resolution for Detecting Lexical Chains in Patent Documentation

机译:重用资源的练习:适应普通话语级别解决专利文献中的词汇链

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The Stanford Coreference Resolution System (StCR) is a multi-pass, rule-based system that scored best in the CoNLL 2011 shared task on general discourse coreference resolution. We describe how the StCR has been adapted to the specific domain of patents and give some cues on how it can be adapted to other domains. We present a linguistic analysis of the patent domain and how we were able to adapt the rules to the domain and to expand coreferences with some lexical chains. A comparative evaluation shows an improvement of the coreference resolution system, denoting that (ⅰ) StCR is a valuable tool across different text genres; (ⅱ) specialized discourse NLP may significantly benefit from general discourse NLP research.
机译:斯坦福练习号码系统(STCR)是一种多通行规则的系统,在一般话语级记决议上批评Conll 2011共享任务。我们描述了STCR如何适应特定专利领域,并给出一些提示如何适应其他域。我们展示了专利域的语言分析以及我们如何将规则调整到域的规则,并通过一些词汇链扩展Coreferences。比较评估表明,COSEREDS解析系统的改进,表示(Ⅰ)STCR是不同文本类型的有价值的工具; (Ⅱ)专门的话语NLP可以显着受益于一般话语NLP研究。

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