Face Selection

In the field of natural language processing, the Face Selection task aims to identify and select up to two sentences from a text as evidential facts to support or refute a specific viewpoint. This task enhances the effectiveness and persuasiveness of arguments by precisely extracting key information, and it is widely applied in areas such as automatic summarization, sentiment analysis, and debate systems, making it highly valuable. However, it's worth noting that the term "Face Selection" might be a mistranslation or misinterpretation of the intended task name. A more accurate term for this context could be "Evidence Selection." If "Face Selection" was used specifically in your source, please clarify, but in general contexts, "Evidence Selection" would be more appropriate. Here’s the revised translation using "Evidence Selection": In the field of natural language processing, the Evidence Selection task aims to identify and select up to two sentences from a text as evidential facts to support or refute a specific viewpoint. This task enhances the effectiveness and persuasiveness of arguments by precisely extracting key information, and it is widely applied in areas such as automatic summarization, sentiment analysis, and debate systems, making it highly valuable.