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首页> 外文会议>International Conference on Computational Linguistics >Expert Concept-Modeling Ground Truth Construction for Word Embeddings Evaluation in Concept-Focused Domains
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Expert Concept-Modeling Ground Truth Construction for Word Embeddings Evaluation in Concept-Focused Domains

机译：专家概念建模的地面真理建设，以概念为重点的域名评估

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摘要

We present a novel, domain expert-controlled, replicable procedure for the construction of concept-modeling ground truths with the aim of evaluating the application of word embeddings. In particular, our method is designed to evaluate the application of word and paragraph embeddings in concept-focused textual domains, where a generic ontology does not provide enough information. We illustrate the procedure, and validate it by describing the construction of an expert ground truth, QuiNE-GT. QuiNE-GT is built to answer research questions concerning the concept of naturalized epistemology in QUINE, a 2-million-token, single-author, 20th-century English philosophy corpus of outstanding quality, cleaned up and enriched for the purpose. To the best of our ken, expert concept-modeling ground truths are extremely rare in current literature, nor has the theoretical methodology behind their construction ever been explicitly conceptualised and properly systematised. Expert-controlled concept-modeling ground truths are however essential to allow proper evaluation of word embeddings techniques, and increase their trustworthiness in specialised domains in which the detection of concepts through their, expression in texts is important. We highlight challenges, requirements, and prospects for future work.
机译：我们提出了一种新颖的，域专家对照，可复制的程序，用于构建概念建模的地面真理，目的是评估Word Embeddings的应用。特别是，我们的方法旨在评估Word和段落嵌入在概念的文本域中的应用，其中泛型本体不提供足够的信息。我们通过描述专家地面真理，Quine-GT的构建来说明该过程，并验证它。 Quine-GT建立在Quine的归化鉴定概念的研究问题，是一家卓越的卓越，单一作者，20世纪的英国哲学哲学语料库，为此目的清理并丰富。据我们所知，专家概念建模的地面真理在当前的文献中非常罕见，在他们的建筑背后的理论方法也没有明确概念化和妥善系统化。然而，专家控制的概念建模地面真理对于允许正确评估嵌入式技术，并提高他们在文本中检测概念的专业域中的可靠性，这是重要的。我们突出了未来工作的挑战，要求和前景。

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