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Much work on information extraction has successfully used gazetteers to recognise uncommon entities that cannot be reliably identified from local context alone. Ap- proaches to such tasks often involve the …...

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AbstractCorporate mergers and acquisitions (M&A) account for billions of dollars of investment globally every year and offer an interesting and challenging domain for artificial intelligence. However, in these highly sensitive …...

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AbstractAspect-based sentiment analysis (ABSA) aims to predict the sentiment towards a specific aspect in the text. However, existing ABSA test sets cannot be used to probe whether a model can …...

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Universal Adversarial Attacks with Natural Triggers for Text Classification

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AbstractRecent work has demonstrated the vulnerability of modern text classifiers to universal adversarial attacks, which are input-agnostic sequences of words added to text processed by classifiers. Despite being successful, the …...

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A Study on Using Different Audio Lengths in Transfer Learning for Improving Chainsaw Sound Recognition

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AbstractChainsaw sound recognition is a challenging task because of the complexity of sound and the excessive noises in mountain environments. This study aims to discuss the influence of different sound …...

1027