Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation
Sapienza University of Rome（罗马大学）
英文摘要：
We release to the community six large-scale sense-annotated datasets in multiple language to pave the way for supervised multilingual Word Sense Disambiguation. Our datasets cover all the nouns in the English WordNet and their translations in other languages for a total of millions of sense-tagged sentences. Experiments prove that these corpora can be effectively used as training sets for supervised WSD systems, surpassing the state of the art for low-resourced languages and providing competitive results for English, where manually annotated training sets are accessible. The data is available at trainomatic.org.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
