Abstract
In this paper, we present an approach to select the most appropriate phrases in a weather forecast, when the numerical weather data is present. We study the different types of connecting phrases present in weather forecast and the challenges involved in selecting them. We use a classification-based approach for selecting the connecting phrases in the weather forecast. We evaluate our results on a standard weather forecast dataset and compare our results with a similar previous work. Our approach outperforms the previous work and provides a new state-of-the-art results.
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Das, P., Naskar, S.K. (2020). Selection of Connecting Phrases in Weather Forecast. In: Gunjan, V., Suganthan, P., Haase, J., Kumar, A., Raman, B. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-1632-0_4
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DOI: https://doi.org/10.1007/978-981-15-1632-0_4
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