Harinder Pal


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Bootstrapping for Numerical Open IE
Swarnadeep Saha | Harinder Pal | Mausam
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

We design and release BONIE, the first open numerical relation extractor, for extracting Open IE tuples where one of the arguments is a number or a quantity-unit phrase. BONIE uses bootstrapping to learn the specific dependency patterns that express numerical relations in a sentence. BONIE’s novelty lies in task-specific customizations, such as inferring implicit relations, which are clear due to context such as units (for e.g., ‘square kilometers’ suggests area, even if the word ‘area’ is missing in the sentence). BONIE obtains 1.5x yield and 15 point precision gain on numerical facts over a state-of-the-art Open IE system.


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Demonyms and Compound Relational Nouns in Nominal Open IE
Harinder Pal | Mausam
Proceedings of the 5th Workshop on Automated Knowledge Base Construction