1 HeLM: Highlighted Evidence augmented Language Model for Enhanced Table-to-Text Generation
Table-to-text Generation by Structure-aware Seq2seq Learning Accepted by AAAI2018 【摘要】 传统Sequence to Sequence是采用端到端的方式处理由句子X生成句子Y的通用模型框架,但是当数据来自于多源纬度不同的信息时,传统Encoder-Decoder框架技术缺乏能够融合多源属性并生成更为一致的描述内容的整体归纳能力。为此,我...
Table-to-Text generationSeq2SeqHierarchical encoderIn this paper, we present a neural model to map structured table into document-scale descriptive texts. Most existing neural network based approaches encode a table record-by-record and generate long summaries by attentional encoder-decoder model, ...
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...
首先定义table2text任务。将table表示为一些记录的集合, ,每个记录是一个三元组(entity, attribute, value)。当该表格的所有记录的entity都是相同的话,我们可以省略entity将其变为二元组(attribute, value)。任务就是根据给定的表格记录,生成一段流畅的文本G对其进行描述。在训练阶段,我们还假定有参考文本R。数据集合...
Generating fluent, coherent, and informative text from structured data is called table-to-text generation. Copying words from the table is a common method to solve the “out-of-vocabulary” problem, but it’s difficult to achieve accurate copying. In order to overcome this problem, we invent ...
Diffusion models have demonstrated significant potential in achieving state-of-the-art performance across various text generation tasks. In this systematic study, we investigate their application to the table-to-text problem by adapting the diffusion model to the task and conducting an in-depth analysi...
🧞 TabGenie: A Toolkit for Table-to-Text Generation Demo 👉️ https://quest.ms.mff.cuni.cz/nlg/tabgenie TabGenie provides tools for working with data-to-text generation datasets in a unified tabular format. TabGenie allows you to: explore the content of the datasets interact with tab...
Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers Large language models (LLMs) have shown remarkable ability on controllable text generation. However, the potential of LLMs in generating text from structur... Y Zhao,H Zhang,S Si,... - 《Arxiv》...
This is the source code for our paper TWT: Table with Written Text for Controlled Data-to-Text Generation (Findings of EMNLP 2021).In this paper, we propose to generate text conditioned on the structured data (table) and a prefix (the written text) by leveraging the pretrained models. ...