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Several studies compare different competing forecasting models against a pre-selected benchmark, using tests, such as the Diebold-Mariano (Diebold and Mariano, 1995),

We have presented Recurrent Dual Attention Net- work (ReDAN), a new multimodal framework for visual dialog, by incorporating image and dialog history context via a

In this paper, we examine the impact of both corpus and context parameters for a variety of models, for the task of nominal compound compositionality pre- diction in English

We conclude that: (i) this dataset is easier than previously realized, (ii) straightforward, conventional NLP systems can do much better on it than previously suggested, (iii)

Our overall empirical results suggest that access to FISP does not disproportionately raise crop productivity for female-managed plots, implying that FISP alone is not sufficient to

Our approach applies convo- lution neural networks (CNNs) to learn- ing the joint representation of question- answer pair firstly, and then uses the joint representation as input of

Most work on frame-semantic parsing has usually divided the task into two major subtasks: frame identification, namely the disambiguation of a given predicate to a frame, and

The majority of participants referring to this benefit had also revealed their relationship status in social media (as described in the first results section)