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We consider the problem of predicting mea- surable responses to scientific articles based primarily on their text content. Specif- ically, we consider papers in two fields (economics and computational linguistics) …...

In this paper, we have studied the effect of two important factors influencing text readability in Bangla: the target reader and text properties. Accordingly, at first we have built a …...

Temporal common sense has applications in AI tasks such as QA, multi-document summa- rization, and human-AI communication. We propose the task of sequencing – given a jum- bled set of …...

AbstractSarcasm is a subtle form of language in which people express the opposite of what is implied. Previous works of sarcasm detection focused on texts. However, more and more social …...

AbstractIn this work, we analyse different translated texts in terms of various text features. We compare two types of human translations, professional and students’, and machine translation outputs in terms …...