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 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, helen dale samso

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Substituted pteridinones, pyrimidines, pyrrolopyrimidines, and purines as p90 ribosomal S6 protein kinase-2 (RSK2) inhibitors: Pharmacophore modeling data

The RSK2 kinase is a downstream effector of the Ras/Raf/MEK/ERK pathway that is aberrantly active in a range of cancer types and has been recognized an anticancer target.The inhibition of RSK2 kinase activity would disrupt multiple pro-cancer processes; however, there are few RSK2 inhibitors.The data have been obtained for a series of pteridinone-,

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Internally-headed relative clauses in sign languages

This chapter considers relative clause data from sign languages in light of their variation with respect to basic word order, nonmanual marking, and presence/absence of internally-headed and externally-headed relative clauses.Syntactically, a double merge cartographic model (Cinque 2005a; b), following Brunelli (2011), is adopted.The differences ac

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