SemEval-2014 Task 10

语义文本相似性（STS）近年来受到越来越多的关注，在 2012 年和 2013 年组织的 Semeval/*SEM 任务中达到高潮，每个任务都汇集了 30 多个参与团队。虽然迄今为止的重点是测量英语文本的相似性，但我们认为开发和评估其他语言文本相似性的方法也很重要。这是由于越来越多的在线和其他地方可用英语以外的语言编写的文档，以及对其他语言的计算语言资源和工具的兴趣增加。

Semantic Textual Similarity (STS) has garnered increasing attention in recent years, reaching its culmination in the Semeval/*SEM tasks organized in 2012 and 2013, each of which drew together over 30 participating teams. While the focus thus far has been on measuring similarity between English texts, we argue that it is also critical to develop and evaluate methods for textual similarity across other languages. This is due to the growing availability of documents written in languages other than English across the web and other domains, as well as the increasing interest in computational linguistic resources and tools for non-English languages.

搜集汇总

背景与挑战

背景概述

SemEval-2014 Task 10是一个专注于多语言语义文本相似性的数据集，旨在开发和评估英语以外语言的文本相似性方法。该任务由多个大学机构在2014年联合发布，反映了对多语言计算语言资源和工具日益增长的需求。