COMPARING NEURAL SENTENCE ENCODERS FOR TOPIC SEGMENTATION ACROSS DOMAINS: NOT YOUR TYPICAL TEXT SIMILARITY TASK

Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task

Neural sentence encoders (NSE) are 12n/1200 wella effective in many NLP tasks, including topic segmentation.However, no systematic comparison of their performance in topic segmentation has been performed.Here, we present such a comparison, using supervised and unsupervised segmentation models based on NSEs.We first compare results with baselines, s

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