# An Abstract Summarization Method Combining Global Topics
## 7 Conclusions  
In the task of summary generation, the consistency between the summary and the topics of the original text is crucial. Existing summary generation methods based on the encoder-decoder structure mostly focus on the correlation between the original words and the summary words, while the application of the original topic information is inadequate. Therefore, an abstract summaries method combining global topic information, ACGT, is proposed. By constructing an LDA-based Global Topics Extractor and Global Topics with combined Attention Module, the key topic information of the original text is fused into the document representation for summary generation. Experiments show that ACGT achieves better ROUGE scores than that of baseline methods on both English CNN/DM and Chinese LCSTS datasets, and the performance of the generated summaries is significantly \begin{table}
\begin{tabular}{p{284.5 pt}} \hline \hline
**Original text**: A mammoth fire broke out Friday morning in a Kentucky industrial park, sending plumes of thick smoke over the area as authorities worked to contain the damage. \\ \hline
**Reference summary**: Fire breaks out in a Kentucky industrial park. City official states: no one is believed to be injured or trapped. \\ \hline
**PGEN + Cov**: A fire broke out Friday morning in an industrial park, and the authorities did not know what had caused the fire. \\ \hline
**ACGT(ours)**: Fire breaks out at the general electric appliance park in Louisville, Kentucky. The authorities said: no one was injured or trapped, but the cause of the fire is unknown. \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Example of summaries generated on CNN/DM dataset. \begin{table}
\begin{tabular}{p{284.5 pt}} \hline \hline
**Original text**: At around 15:00 this afternoon, the 2016 International Champions Cup China officially announced that the “2016 International Champions Cup China—Beijing Station—Manchester City vs. Manchester United” originally scheduled to be held at the “Bird’s Nest” at 19:30 on 25 July, Cancelled due to continuous heavy rain in recent days. The Manchester City club said in an official statement that the extreme weather in recent days has made the pitch conditions unsuitable for athletes to compete. Fans can go to the sponsor’s website for a full refund. However, according to Sky Sports UK, the real reason for the cancellation was the poor venue rather than the weather. Just last weekend, Manchester United manager [PERSON] called the pitch very bad. On Weibo, some netizens posted the situation of the “Bird’s Nest” lawn, let’s feel it. \\ \hline
**Reference summary:** Is the Manchester City vs. Manchester United Bird’s Nest match cancelled because of the weather or other reasons? \\ \hline
**PGEN + Co**: Champions League Manchester City vs. Manchester United reported that the weather caused the venue environment to be too bad? \\ \hline
**ACGT(Ours)**: The real reason for the cancellation of the International Champions Cup China match between Manchester City and Manchester United is that the venue is too bad and the weather is bad? \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Example of summaries generated on LCSTS dataset. correlated with the number of topics introduced. The case studies show that ACGT generates summaries with better consistency with the original topics. In the next step, we aim to investigate the document from multiple viewpoints, and extract more key information for document information enhancement. Conceptualization, Z.D. and L.L. ; methodology, Z.D. ; software, Y.W. ; validation, J.W. and Y.W. ; formal analysis, W.Y. ; investigation, J.W. ; resources, W.Y. ; data curation, W.Y. ; writing--review and editing, Z.D. ; visualization, Z.D. ; supervision, Y.W. ; project administration, L.L. ; funding acquisition, W.Y. All authors have read and agreed to the published version of the manuscript.