|
|
|
|
|
Biqing Zeng, Ruyang Xu, Heng Yang, Zibang Gan and Wu Zhou
Under the constraint of memory capacity of the neural network and the document length, it is difficult to generate summaries with adequate salient information. In this work, the self-matching mechanism is incorporated into the extractive summarization sy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kang Yang, Kamal Al-Sabahi, Yanmin Xiang and Zuping Zhang
-
|
|
|
|
|
|
|
|
|
|
|
Kang Yang, Kamal Al-Sabahi, Yanmin Xiang and Zuping Zhang
Extractive summarization aims to produce a concise version of a document by extracting information-rich sentences from the original texts. The graph-based model is an effective and efficient approach to rank sentences since it is simple and easy to use. ...
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
|
|
|
|
|
|
|
|
|
|
|
K. Manju, S. David Peter and Sumam Mary Idicula
Automatic extractive text summarization retrieves a subset of data that represents most notable sentences in the entire document. In the era of digital explosion, which is mostly unstructured textual data, there is a demand for users to understand the hu...
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Rizki Darmawan,Romi Satria Wahono
Pág. 109 - 114
As the amount of online information increases, systems that can automatically summarize text in a document become increasingly desirable. The main goal of a text summarization is to present the main ideas in a document in less space. In the create text s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdelrhman Eldallal and Eduard Barbu
Automatic Keyphrase Extraction involves identifying essential phrases in a document. These keyphrases are crucial in various tasks, such as document classification, clustering, recommendation, indexing, searching, summarization, and text simplification. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adam Wawrzynski and Julian Szymanski
To effectively process textual data, many approaches have been proposed to create text representations. The transformation of a text into a form of numbers that can be computed using computers is crucial for further applications in downstream tasks such ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdullah Al Foysal and Ronald Böck
Nowadays, individuals can be overwhelmed by a huge number of documents being present in daily life. Capturing the necessary details is often a challenge. Therefore, it is rather important to summarize documents to obtain the main information quickly. The...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrea Chaves, Cyrille Kesiku and Begonya Garcia-Zapirain
In recent years, the evolution of technology has led to an increase in text data obtained from many sources. In the biomedical domain, text information has also evidenced this accelerated growth, and automatic text summarization systems play an essential...
ver más
|
|
|
|
|
|