Papers by Mairgup Mansur

2 papers
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data (D18-1)

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Challenge: Pre-trained word embeddings and language models cannot capture word connections in a sentence.
Approach: They propose to implicitly capture word connections from unlabeled data by word ordering model with self-attention mechanism.
Outcome: The proposed model achieves 96.35% UAS and 95.25% LAS on the English PTB dataset.
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation (2022.coling-1)

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Challenge: Existing methods for generating MWP text from equations are inflexible and require pre-defined templates.
Approach: They propose a neural model which generates MWPs from equations by constructing a Quantity Cell Graph from the retrieved MWp instance and reasoning over it.
Outcome: The proposed model performs impressively on educational MWP set and on human evaluation metrics.

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