Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive Paraphrasing
August 21, 2018 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Seid Muhie Yimam, Chris Biemann
arXiv ID
1808.06853
Category
cs.CL: Computation & Language
Citations
6
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
5 months ago
Abstract
In this paper, we present Par4Sem, a semantic writing aid tool based on adaptive paraphrasing. Unlike many annotation tools that are primarily used to collect training examples, Par4Sem is integrated into a real word application, in this case a writing aid tool, in order to collect training examples from usage data. Par4Sem is a tool, which supports an adaptive, iterative, and interactive process where the underlying machine learning models are updated for each iteration using new training examples from usage data. After motivating the use of ever-learning tools in NLP applications, we evaluate Par4Sem by adopting it to a text simplification task through mere usage.
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