Text summarization aims to generate a concise version of the original text.The longer the summary text is,themore detailed it will be fromthe original text,and this depends on the intended use.Therefore,the problem of...Text summarization aims to generate a concise version of the original text.The longer the summary text is,themore detailed it will be fromthe original text,and this depends on the intended use.Therefore,the problem of generating summary texts with desired lengths is a vital task to put the research into practice.To solve this problem,in this paper,we propose a new method to integrate the desired length of the summarized text into the encoder-decoder model for the abstractive text summarization problem.This length parameter is integrated into the encoding phase at each self-attention step and the decoding process by preserving the remaining length for calculating headattention in the generation process and using it as length embeddings added to theword embeddings.We conducted experiments for the proposed model on the two data sets,Cable News Network(CNN)Daily and NEWSROOM,with different desired output lengths.The obtained results show the proposed model’s effectiveness compared with related studies.展开更多
Although contrastive move analysis of article abstracts has been a highlight,few studies focus on abstracts of natural sci⁃ence articles.To compensate for this gap,this study,based on IMRD model,focuses on aquatic bio...Although contrastive move analysis of article abstracts has been a highlight,few studies focus on abstracts of natural sci⁃ence articles.To compensate for this gap,this study,based on IMRD model,focuses on aquatic biology abstracts and contrasts those by native English speakers and those by Chinese authors.Combining quantitative and qualitative studies,it reveals their dif⁃ferences and similarities in terms of the frequency of different moves,sentence length and move length significance.Such similari⁃ties and differences can be explained by the face culture of China,the different language proficiency and the common convention of academic abstract.展开更多
基金funded by Vietnam National Foundation for Science and Technology Development(NAFOSTED)under Grant Number 102.05-2020.26。
文摘Text summarization aims to generate a concise version of the original text.The longer the summary text is,themore detailed it will be fromthe original text,and this depends on the intended use.Therefore,the problem of generating summary texts with desired lengths is a vital task to put the research into practice.To solve this problem,in this paper,we propose a new method to integrate the desired length of the summarized text into the encoder-decoder model for the abstractive text summarization problem.This length parameter is integrated into the encoding phase at each self-attention step and the decoding process by preserving the remaining length for calculating headattention in the generation process and using it as length embeddings added to theword embeddings.We conducted experiments for the proposed model on the two data sets,Cable News Network(CNN)Daily and NEWSROOM,with different desired output lengths.The obtained results show the proposed model’s effectiveness compared with related studies.
文摘Although contrastive move analysis of article abstracts has been a highlight,few studies focus on abstracts of natural sci⁃ence articles.To compensate for this gap,this study,based on IMRD model,focuses on aquatic biology abstracts and contrasts those by native English speakers and those by Chinese authors.Combining quantitative and qualitative studies,it reveals their dif⁃ferences and similarities in terms of the frequency of different moves,sentence length and move length significance.Such similari⁃ties and differences can be explained by the face culture of China,the different language proficiency and the common convention of academic abstract.
