|
|
|
|
|
Yuanyuan Li, Yuan Huang, Weijian Huang, Junhao Yu and Zheng Huang
An abstractive summarization model based on the joint-attention mechanism and a priori knowledge is proposed to address the problems of the inadequate semantic understanding of text and summaries that do not conform to human language habits in abstractiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuxin Huang, Shukai Hou, Gang Li and Zhengtao Yu
The summary of case?public opinion refers to the generation of case-related sentences from public opinion information related to judicial cases. Case?public opinion news refers to the judicial cases (intentional homicide, rape, etc.) that cause large pub...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ivan S. Blekanov, Nikita Tarasov and Svetlana S. Bodrunova
Abstractive summarization is a technique that allows for extracting condensed meanings from long texts, with a variety of potential practical applications. Nonetheless, today?s abstractive summarization research is limited to testing the models on variou...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jean Louis Ebongue Kedieng Fendji, Désiré Manuel Taira, Marcellin Atemkeng and Adam Musa Ali
Text summarization remains a challenging task in the natural language processing field despite the plethora of applications in enterprises and daily life. One of the common use cases is the summarization of web pages which has the potential to provide an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Afrida Helen
Pág. 22 - 34
Understanding the contents of numerous documents requires strenuous effort. While manually reading the summary or abstract is one way, automatic summarization offers more efficient way in doing so. The current research in automatic summarization focuses ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marco Arazzi, Marco Ferretti and Antonino Nocera
Huge quantities of audio and video material are available at universities and teaching institutions, but their use can be limited because of the lack of intelligent search tools. This paper describes a possible way to set up an indexing scheme that offer...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fahd A. Ghanem, M. C. Padma and Ramez Alkhatib
The rapid expansion of social media platforms has resulted in an unprecedented surge of short text content being generated on a daily basis. Extracting valuable insights and patterns from this vast volume of textual data necessitates specialized techniqu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiujuan Xiang, Guangluan Xu, Xingyu Fu, Yang Wei, Li Jin and Lei Wang
Current popular abstractive summarization is based on an attentional encoder-decoder framework. Based on the architecture, the decoder generates a summary according to the full text that often results in the decoder being interfered by some irrelevant in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qicai Wang, Peiyu Liu, Zhenfang Zhu, Hongxia Yin, Qiuyue Zhang and Lindong Zhang
As a core task of natural language processing and information retrieval, automatic text summarization is widely applied in many fields. There are two existing methods for text summarization task at present: abstractive and extractive. On this basis we pr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moreno La Quatra and Luca Cagliero
The emergence of attention-based architectures has led to significant improvements in the performance of neural sequence-to-sequence models for text summarization. Although these models have proved to be effective in summarizing English-written documents...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marios Koniaris, Dimitris Galanis, Eugenia Giannini and Panayiotis Tsanakas
The increasing amount of legal information available online is overwhelming for both citizens and legal professionals, making it difficult and time-consuming to find relevant information and keep up with the latest legal developments. Automatic text summ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dinithi Nallaperuma,Daswin De Silva
Increasing availability and access to health information has been a paradigm shift in healthcare provision as it empowers both patients and practitioners alike. Besides awareness, significant time savings and process efficiencies can be achieved through ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jai Prakash Verma, Shir Bhargav, Madhuri Bhavsar, Pronaya Bhattacharya, Ali Bostani, Subrata Chowdhury, Julian Webber and Abolfazl Mehbodniya
The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within recommendat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pietro Dell?Oglio, Alessandro Bondielli and Francesco Marcelloni
Today, most newspapers utilize social media to disseminate news. On the one hand, this results in an overload of related articles for social media users. On the other hand, since social media tends to form echo chambers around their users, different opin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tulu Tilahun Hailu, Junqing Yu and Tessfu Geteye Fantaye
Text summarization is a process of producing a concise version of text (summary) from one or more information sources. If the generated summary preserves meaning of the original text, it will help the users to make fast and effective decision. However, h...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mihai Alexandru Niculescu, Stefan Ruseti and Mihai Dascalu
Significant progress has been achieved in text generation due to recent developments in neural architectures; nevertheless, this task remains challenging, especially for low-resource languages. This study is centered on developing a model for abstractive...
ver más
|
|
|
|
|
|