Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Minakshi Tomer"'
Autor:
Minakshi Tomer, Manoj Kumar
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 6057-6065 (2022)
Extracting relevant information from a large amount of data is a challenging task. Automatic text summarization is a potential solution for obtaining this information. In this paper, a nature inspired swarm intelligence-based algorithm viz. firefly a
Externí odkaz:
https://doaj.org/article/9abcbc0ca0f348b09aff735bc411c7dc
Publikováno v:
Neural Computing and Applications. 35:9711-9723
Autor:
Manoj Kumar, Minakshi Tomer
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:6057-6065
Extracting relevant information from a large amount of data is a challenging task. Automatic text summarization is a potential solution for obtaining this information. In this paper, a nature inspired swarm intelligence-based algorithm viz. firefly a
Autor:
Minakshi Tomer, Manoj Kumar
Publikováno v:
Arabian Journal for Science and Engineering. 45:10743-10754
ive text summarization using attentional recurrent neural network (sequence-to-sequence) models have proven to be very effective. In this paper, a novel hybrid approach is presented for generating abstractive text summaries by combining fuzzy logic r
Publikováno v:
Journal of Statistics and Management Systems. 23:1093-1104
The Intense growth of data over the internet and process extracting predominating details from it is a time-consuming task. A new application of making this task simplified is text-summarization. T...
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811625961
There is a tremendous amount of data which is present online, and to extract the useful content is a challenging task. The solution is made possible by the introduction of text summarization. In this paper, an ensembled approach for text summarizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97c279da33e362ff5026d9980a43e57b
https://doi.org/10.1007/978-981-16-2597-8_61
https://doi.org/10.1007/978-981-16-2597-8_61
Autor:
Minakshi Tomer, Manoj Kumar
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811630705
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7614b1e7c9f1ef93c0b93e8a77c13860
https://doi.org/10.1007/978-981-16-3071-2_45
https://doi.org/10.1007/978-981-16-3071-2_45
Autor:
Manoj Kumar, Minakshi Tomer
Publikováno v:
Advances in Information Communication Technology and Computing ISBN: 9789811554209
Question answering system is an area under natural language processing and information retrieval which automatically answers the questions generated by humans. This work represents an approach for building a system that generates answers for the ques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73ee3ab5e47407f49899c1c997219d3f
https://doi.org/10.1007/978-981-15-5421-6_28
https://doi.org/10.1007/978-981-15-5421-6_28
Publikováno v:
Proceedings of International Conference on Artificial Intelligence and Applications ISBN: 9789811549915
Stock market is a correlated entanglement of companies whose prices depend upon various factors including how well each individual company is doing, their stock’s performance and the general trend of the stock market. A simple linear prediction bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b473ccbe963b936f8c6f236b6e812940
https://doi.org/10.1007/978-981-15-4992-2_26
https://doi.org/10.1007/978-981-15-4992-2_26
Autor:
Minakshi Tomer, Manoj Kumar
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811512858
The ever-growing increase of documents has compelled the need of text summarization. In the past, deep learning models have shown state-of-the-art results for text summarization. In this paper, a comparison is conducted between different encoders for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbae27aefc72ad5911e4c213618326ad
https://doi.org/10.1007/978-981-15-1286-5_47
https://doi.org/10.1007/978-981-15-1286-5_47