Abstract | ||
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With immense amount of data growing on web in Hindi, a text summariser would be helpful in summarising Government data, medical reports, news, and research articles. Hindi is the fourth most-spoken first language in the world. Hindi written in the Devanagari script is the official language of the Government of India. There is no public dataset for extractive summarisation available in Hindi and thus a dataset of 24253 News articles was extracted and the extractive summaries results were evaluated on various parameters with manual gold summaries of exactly 60 words each. |
Year | DOI | Venue |
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2017 | 10.1109/IALP.2017.8300607 | 2017 International Conference on Asian Language Processing (IALP) |
Keywords | Field | DocType |
Dataset,Text Summarisation,Extractive,Hindi | Devanagari,Computer science,Hindi,Artificial intelligence,Natural language processing,Official language,First language,Government | Conference |
ISSN | ISBN | Citations |
2159-1962 | 978-1-5386-1982-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sakshee Vijay | 1 | 0 | 0.68 |
Vartika Rai | 2 | 0 | 0.68 |
Sorabh Gupta | 3 | 0 | 0.34 |
Anshuman Vijayvargia | 4 | 0 | 0.34 |
Dipti Misra Sharma | 5 | 262 | 45.90 |