An alternative to the sneaky ! negation operator for Javascript
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Updated
Apr 20, 2021 - JavaScript
An alternative to the sneaky ! negation operator for Javascript
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 sent…
CIDOC-CRM extension for typed and negative typed properties
Code and data for negation cue detection project.
Undergraduate Thesis - National and Kapodistrian University of Athens
Selected logical aspects of apophatic theology | The PhD thesis in philosophy written in 2022 (in Polish) under the supervision of Adam Olszewski.
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.
Comparing Data-Driven Techniques for Enhancing Negation Sensitivity in MLM-Based Laguage-Models
Supplementary data for the doctoral thesis "Sentiment Polarity Shifters: Creating Lexical Resources through Manual Annotation and Bootstrapped Machine Learning" by Marc Schulder.
Supplementary data for the 2021 JNLE article "Automatic Generation of Lexica for Sentiment Polarity Shifters" by Schulder, Wiegand and Ruppenhofer.
This repository provides the manual evaluation results and the contrastive test sets on negation in the paper "Revisiting Negation in Neural Machine Translation"
Here you can access scripts I used in my meta-analysis of verbal negation
Custom Sentiment API
Negation of predicate. Typed. Suitable for RxJS, Array.filter and others.
Extract ground truth labels from Radiology reports (unstructured medical text)
A Certifier algorithm to check a particular solution to the NP-Complete 3-Sat problem
Supplementary data for the IJCNLP 2017 paper "Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features" by Schulder, Wiegand, Ruppenhofer and Roth.
Software project
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