[Retracted] Text Mining Based on the Lexicon‐Constrained Network in the Context of Big Data
B Wan, M Sohail - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Unstructured textual news data is produced every day; analyzing them using an abstractive
summarization algorithm provides advanced analytics to decision‐makers. Deep learning …
summarization algorithm provides advanced analytics to decision‐makers. Deep learning …
Lexicon-constrained copying network for Chinese abstractive summarization
B Wan, M Sohail - arXiv preprint arXiv:2010.08197, 2020 - arxiv.org
Copy mechanism allows sequence-to-sequence models to choose words from the input and
put them directly into the output, which is finding increasing use in abstractive …
put them directly into the output, which is finding increasing use in abstractive …
Random Indexing and Centroid Based Technique for Multi Document Summarization
N Yadav, T Aggarwal, N Chatterjee - … of the 1st International Conference on …, 2020 - Springer
In the era of presence of multiple textual information about a particular topic, it becomes of
immense importance to process these multiple documents and summarize them. This is the …
immense importance to process these multiple documents and summarize them. This is the …
Rough Set based Aggregate Rank Measure & its Application to Supervised Multi Document Summarization
N Yadav, N Chatterjee - arXiv preprint arXiv:2002.03259, 2020 - arxiv.org
Most problems in Machine Learning cater to classification and the objects of universe are
classified to a relevant class. Ranking of classified objects of universe per decision class is a …
classified to a relevant class. Ranking of classified objects of universe per decision class is a …
Study on Academic Documents–Oriented Automatic Summarization of Short Texts
C Gao, B Guan, X Zhang, H Liu… - IOP Conference Series …, 2019 - iopscience.iop.org
Traditional automatic text summarization relies heavily on the original text information, and
the extensibility is limited. However, generation-style abstractive methods attempt to …
the extensibility is limited. However, generation-style abstractive methods attempt to …
[PDF][PDF] Rough set based techniques for extractive text summarization
N Yadav - 2019 - nidhikayadav.com
ABSTRACT Rough Set (Pawlak, 1982) theory is a well-developed mathematical
methodology to deal with uncertainty in data. The idea of Rough Set is to partition a given …
methodology to deal with uncertainty in data. The idea of Rough Set is to partition a given …