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Leveraging Multilingual Resources for Language Invariant Sentiment Analysis
Sentiment analysis is a widely researched NLP problem with state-of-the-art solutions capable of attaining human-like accuracies for various languages.
Active-Passive SimStereo -- Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods
In this paper, we propose the Active-Passive SimStereo dataset and a corresponding benchmark to evaluate the performance gap between passive and active stereo images for stereo matching algorithms.
Using Syntax to Resolve NPE in English
We get an F1-score of 76. 47{\%} for detection and 70. 27{\%} for NPE resolution on the testset.
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