Supplementary data for the LREC 2018 paper "Introducing a Lexicon of Verbal Polarity Shifters for English" by Schulder, Wiegand, Ruppenhofer and Köser.
Supplementary data for the COLING 2018 paper "Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German" by Schulder, Wiegand and Ruppenhofer.
Supplementary data for the IJCNLP 2017 paper "Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features" by Schulder, Wiegand, Ruppenhofer and Roth.
This repository contains the dataset created for the LREC 2018 paper "Disambiguation of Verbal Shifters" by Michael Wiegand, Sylvette Loda and Josef Ruppenhofer
Program that show user sentiments while giving reviews for different restaurants (Negative or Positive). Positive= 1.0 | >1.0 Negative= -1.0 | < -1.0 In case of positive sentiments, It will give 4 stars for 1.0 and 5 for > 1.0 In case of Negative sentiments, It will give 2 stars for -1.0 and 1 for < -1.0 i.e: -2.0 or less In case of Neutral sentiments, It will give 3 stars for 0.0
Supplementary data for the LREC 2020 paper "Enhancing a Lexicon of Polarity Shifters through the Automatic Addition of Shifting Directions" by Schulder, Wiegand and Ruppenhofer.
Supplementary data for the doctoral thesis "Sentiment Polarity Shifters: Creating Lexical Resources through Manual Annotation and Bootstrapped Machine Learning" by Marc Schulder.
This repository provides the manual evaluation results and the contrastive test sets on negation in the paper "Revisiting Negation in Neural Machine Translation"