Detecting Cybersecurity Events from Noisy Short Text
Table 5: Results for Contextual Feature Combinations
['[BOLD] Features', '[BOLD] Accuracy']
At first glance, it might seem that we threw everything that we got to solve the problem. However, we argue that providing contextual features is somewhat yielding a better initialization, thus providing a network to converge better local minima. We argue that NER is more biased towards making false positives as it does not consider the word order or semantic meaning and only raises a flag when many relevant terms are apparent. However, results prove that NER’s features could be beneficial when used in combination with IE and LDA which indicates that NER is detecting something unique that IE and LDA could not.