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Found 3 papers, 2 papers with code
Multilingual unsupervised sequence segmentation transfers to extremely low-resource languages
Further, we show that this transfer can be achieved by training over a collection of low-resource languages that are typologically similar (but phylogenetically unrelated) to the target language.
Probing Language Models for Understanding of Temporal Expressions
We present three Natural Language Inference (NLI) challenge sets that can evaluate NLI models on their understanding of temporal expressions.
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering
Today anti-malware community is facing challenges due to the ever-increasing sophistication and volume of malware attacks developed by adversaries.
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