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Water quality information dissemination at real-time in South Africa using language modelling
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| dc.contributor.author |
Lourens, Roger L
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| dc.contributor.author |
Patra, A
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| dc.contributor.author |
Hassim, Luqmaan
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| dc.contributor.author |
Sima, Faheem
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| dc.contributor.author |
Moodley, Avashlin
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| dc.contributor.author |
Sharma, P
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| dc.date.accessioned | 2019-04-01T09:22:27Z | |
| dc.date.available | 2019-04-01T09:22:27Z | |
| dc.date.issued | 2018-12 | |
| dc.identifier.citation | Lourens, R.L. et al. 2018. Water quality information dissemination at real-time in South Africa using language modelling. Machine Learning for the Developing World (ML4D) Workshop, part of the 23rd Conference on Neural Information Processing Systems (NIPS 2018), 8 December 2018, Palais des Congrès de Montréal, Montréal, Canada | en_US |
| dc.identifier.uri | https://arxiv.org/abs/1812.09745 | |
| dc.identifier.uri | http://hdl.handle.net/10204/10893 | |
| dc.description | Paper presented at the Machine Learning for the Developing World (ML4D) Workshop, part of the 23rd Conference on Neural Information Processing Systems (NIPS 2018), 8 December 2018, Palais des Congrès de Montréal, Montréal, Canada | en_US |
| dc.description.abstract | We present a conversational model to apprise users with limited access to computational resources about water quality and real-time accessibility for a given location. We used natural language understanding through neural embedding driven approaches. This was integrated with a chatbot interface to accept user queries and decide on action output based on entity recognition from such input query and online information from standard databases and governmental and non-governmental resources. We present results of attempts made for some South African use cases, and demonstrate utility for information search and dissemination at a local level. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | Worklist;22347 | |
| dc.subject | Water quality | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Language modelling | en_US |
| dc.title | Water quality information dissemination at real-time in South Africa using language modelling | en_US |
| dc.type | Conference Presentation | en_US |
| dc.identifier.apacitation | Lourens, R. L., Patra, A., Hassim, L., Sima, F., Moodley, A., & Sharma, P. (2018). Water quality information dissemination at real-time in South Africa using language modelling. http://hdl.handle.net/10204/10893 | en_ZA |
| dc.identifier.chicagocitation | Lourens, Roger L, A Patra, Luqmaan Hassim, Faheem Sima, Avashlin Moodley, and P Sharma. "Water quality information dissemination at real-time in South Africa using language modelling." (2018): http://hdl.handle.net/10204/10893 | en_ZA |
| dc.identifier.vancouvercitation | Lourens RL, Patra A, Hassim L, Sima F, Moodley A, Sharma P, Water quality information dissemination at real-time in South Africa using language modelling; 2018. http://hdl.handle.net/10204/10893 . | en_ZA |
| dc.identifier.ris | TY - Conference Presentation AU - Lourens, Roger L AU - Patra, A AU - Hassim, Luqmaan AU - Sima, Faheem AU - Moodley, Avashlin AU - Sharma, P AB - We present a conversational model to apprise users with limited access to computational resources about water quality and real-time accessibility for a given location. We used natural language understanding through neural embedding driven approaches. This was integrated with a chatbot interface to accept user queries and decide on action output based on entity recognition from such input query and online information from standard databases and governmental and non-governmental resources. We present results of attempts made for some South African use cases, and demonstrate utility for information search and dissemination at a local level. DA - 2018-12 DB - ResearchSpace DP - CSIR KW - Water quality KW - Machine learning KW - Language modelling LK - https://researchspace.csir.co.za PY - 2018 T1 - Water quality information dissemination at real-time in South Africa using language modelling TI - Water quality information dissemination at real-time in South Africa using language modelling UR - http://hdl.handle.net/10204/10893 ER - | en_ZA |
