Papers with Statistical models
A Meaning-Based Statistical English Math Word Problem Solver (N18-1)
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| Challenge: | Experimental results show that the proposed approach understands the meaning of each quantity in the text more. |
| Approach: | They propose a meaning-based approach for solving English math word problems . they analyze text, transform body and question parts into corresponding logic forms . Statistical models are proposed to select operator and operands . |
| Outcome: | The proposed approach outperforms existing systems on benchmark and noisy datasets. |
Grounded Textual Entailment (C18-1)
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Hoa Trong Vu, Claudio Greco, Aliia Erofeeva, Somayeh Jafaritazehjan, Guido Linders, Marc Tanti, Alberto Testoni, Raffaella Bernardi, Albert Gatt
| Challenge: | Existing models for entailment analysis are not performing well in visual information-based models. |
| Approach: | They propose to use a visual representation of the Textual Entailment task to compare visual-grounded models with a multimodal version of the SNLI dataset. |
| Outcome: | The proposed model performs better when there is an image of the “world” or “situation” . |