Search Results for author: Andrew McNamara

Found 2 papers, 1 papers with code

Improving Neural Question Generation using World Knowledge

no code implementations9 Sep 2019 Deepak Gupta, Kaheer Suleman, Mahmoud Adada, Andrew McNamara, Justin Harris

In this paper, we propose a method for incorporating world knowledge (linked entities and fine-grained entity types) into a neural question generation model.

Question Generation

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

11 code implementations28 Nov 2016 Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang

The size of the dataset and the fact that the questions are derived from real user search queries distinguishes MS MARCO from other well-known publicly available datasets for machine reading comprehension and question-answering.

Machine Reading Comprehension Question Answering

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