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Temporal Information Extraction from Textual Data using Long Short Term Memory Recurrent Neural NetworkBy Tanvir Hossain, Md. Mostafijur Rahman, S.M. Mohidul Islam
Abstract: Temporal information extraction from raw text is always challenging. It is time consuming and sometimes difficult to extract temporal expression manually. For this reason, an automatic system is a demand to find the temporal expressions from the textual data automatically. In this paper, we have developed a temporal information extraction system using Long Short Term Memory (LSTM) recurrent neural network (RNN) along with word embedding where temporal expressions are extracted …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 2, 2018 · pp. 1–6 Read article →