Learning a Lexical Simplifier Using Wikipedia
Authors | Colby Horn Cathryn Manduca David Kauchak |
|---|---|
Publication date | 2014 |
DOI | 10.3115/v1/P14-2075 |
Links | Original |
Learning a Lexical Simplifier Using Wikipedia - scientific work related to Wikipedia quality published in 2014, written by Colby Horn, Cathryn Manduca and David Kauchak.
Overview
In this paper authors introduce a new lexical simplification approach. Authors extract over 30K candidate lexical simplifications by identifying aligned words in a sentencealigned corpus of English Wikipedia with Simple English Wikipedia. To apply these rules, authors learn a feature-based ranker using SVMrank trained on a set of labeled simplifications collected using Amazon’s Mechanical Turk. Using human simplifications for evaluation, authors achieve a precision of 76% with changes in 86% of the examples.
Embed
Wikipedia Quality
Horn, Colby; Manduca, Cathryn; Kauchak, David. (2014). "[[Learning a Lexical Simplifier Using Wikipedia]]".DOI: 10.3115/v1/P14-2075.
English Wikipedia
{{cite journal |last1=Horn |first1=Colby |last2=Manduca |first2=Cathryn |last3=Kauchak |first3=David |title=Learning a Lexical Simplifier Using Wikipedia |date=2014 |doi=10.3115/v1/P14-2075 |url=https://wikipediaquality.com/wiki/Learning_a_Lexical_Simplifier_Using_Wikipedia}}
HTML
Horn, Colby; Manduca, Cathryn; Kauchak, David. (2014). "<a href="https://wikipediaquality.com/wiki/Learning_a_Lexical_Simplifier_Using_Wikipedia">Learning a Lexical Simplifier Using Wikipedia</a>".DOI: 10.3115/v1/P14-2075.
