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Status: Unchecked ×Keyword: sentiment analysis ×Clear all

2 claims from 1 paper

1. Computer Science › Topic Modeling

   AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

   Shin, Razeghi, Logan, Wallace and Singh · arXiv (Cornell University) · 2020

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   1. Unchecked“Using AutoPrompt, we show that masked language models (MLMs) have an inherent capability to perform sentiment analysis and natural language inference without additional parameters or finetuning, sometimes achieving performance on par with recent state-of-the…
   2. Unchecked“We also show that our prompts elicit more accurate factual knowledge from MLMs than the manually created prompts on the LAMA benchmark, and that MLMs can be used as relation extractors more effectively than supervised relation extraction models.”