推理流程就很好理解了,给定table T跟问题Q,table highlighter会找出T中跟Q相关联的数据索引位置,即evidence,然后将其对应行的数据打上对应标记,获得新的表格T*,再让table summarizer生成对应的回复。 4 实验结果 a) 从文中实验结果看,HeLM这种两阶段的训练方法在table-to-text 取得明显收益,面对其他finetuning的方...
关于表格的文本生成:Table-to-Text 微软的WIKITABLETEXT 我研究了3个例子:北京大学的wiki2bio、谷歌的ToTTo、微软的WIKITABLETEXT 北京大学的wiki2bio Liu, T., Wang, K., Sha, L., Chang, B., & Sui, Z. (2018). Table-to-text generation by structure-aware seq2seq learning. 32nd AAAI Conferenc...
在“ ToTTo: A Controlled Table-To-Text Generation Dataset ”中,我们展示了一个开放域表到文本生成数据集,该数据集使用一种新颖的注释过程(通过句子修订)以及一个受控文本生成任务来创建,该任务可用于评估模型幻觉。ToTTo(“Table-To-Text”的简写)包含 121,000 个训练示例,以及每个用于开发和测试的 7,500 个...
必应词典为您提供convert-table-to-text的释义,网络释义: 把表格转换为文本;将表格转换成文本;
描述 A browser extension which enables you to export data stored inside of a HTML table object to either CSV or JSON. Easily change key names which are saved when exporting to JSON, and a clear table displaying the changes made. You can select which table to generate data for using the ...
Table-to-text generation aims to generate descriptions for structured data (i.e., tables) and has been applied in many fields like question-answering syste... H Ding,X Xu - 《Natural Language Engineering》 被引量: 0发表: 2024年 Large Language Models are Effective Table-to-Text Generators,...
Table-to-text generation aims to generate a description for a factual table which can be viewed as a set of field-value records. To encode both the content and the structure of a table, we propose a novel structure-aware seq2seq architecture which consists of field-gating encoder and descri...
Although Seq2Seq models for table-to-text generation have achieved remarkable progress, modeling table representation in one dimension is inadequate. This is because (1) the table consists of multiple rows and columns, which means that encoding a table should not depend only on one dimensional seq...
De-Confounded Variational Encoder-Decoder for LogicalTable-to-Text Generation,原文地址介绍数据到文本的生成方法指的是从非文本的输入中生成描述性文本的任务。输入种类不同,任务可以定义地更加明确,比如摘要信息生成文本,信息框生成文本,图生成文本。在这些任务
Table-to-text generation aims to generate descriptions for structured data (i.e., tables) and has been applied in many fields like question-answering systems and search engines. Current approaches mostly use neural language models to learn alignment between output and input ba...