We present Lexifield, a fully automatic language-independent system for building domain-specific lexicons from a short list of terms defining the domain. Lexifield relies on a pre-trained word embedding model, a definition dictionary and a dictionary of synonyms. To evaluate this system, four lexicons have been generated: one lexicon in French for the topic “son” (“sound”) and three lexicons in English for the topics “sound”, “taste” and “odour”. As compared to other word embedding-based systems and a state-of-the-art sensorial lexicon, Sensicon, our system achieves better precision and recall on reference lists extracted from manually created resources such as Roget’s Thesaurus.

中文翻译：

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Lexifield：通过短单词列表的语义扩展自动构建词典的系统

我们介绍Lexifield，这是一种全自动的语言独立系统，用于从定义域的简短术语列表中构建特定于域的词典。Lexifield依赖于预训练的单词嵌入模型，定义词典和同义词词典。为了评估该系统，已生成了四个词典：一个法语主题为“儿子”（“声音”）的词典，三个英语词典为主题“声音”，“味道”和“气味”。与其他基于词嵌入的系统和最新的感官词典（Sensicon）相比，我们的系统在从人工创建的资源（例如Roget同义词库）提取的参考列表中实现了更高的精度和召回率。