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Segmenting Search Query Logs by Learning to Detect Search Task Boundaries

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Academic year: 2021

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Figure

Figure 1: Segmentation architecture with a bidirectional re- re-current neural layer along with an attention mechanism.
Table 1: Model performance with GRUs, LSTMs, and time span at the attention layer (AL)
Table 3: Fine-tuning the recurrent architecture to realize seg- seg-mentation on the CSTE dataset.

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