Papers by Abhijit Mahabal
Text Classification with Few Examples using Controlled Generalization (N19-1)
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| Challenge: | Current training data for text classification is limited, resulting in limited generalization capacity. |
| Approach: | They propose a feed-forward network that can generalize from unlabeled parsed corpora to produce task-specific semantic vectors. |
| Outcome: | The proposed approach is especially effective in low-data scenarios compared to state-of-the-art methods. |
How Large Are Lions? Inducing Distributions over Quantitative Attributes (P19-1)
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| Challenge: | Current NLP systems have little knowledge about quantitative attributes of objects and events. |
| Approach: | They propose to use web data to create a resource consisting of distributions over physical quantities associated with objects, adjectives, and verbs. |
| Outcome: | The proposed method compares favorably with state-of-the-art results on existing datasets for relative comparisons of nouns and adjectives and on a new dataset. |