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A Discrete Hard EM Approach for Weakly Supervised Question Answering

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Figure

Figure 1: Examples from two different question an-swering tasks. (Top) Multi-mention reading compre-hension
Table 1: Six QA datasets in three different categories used in this paper (detailed in Section 5) along with the sizeof each dataset
Figure 1and a document. We can see that one equation iscorrect, while the others are false positives which shows an example Z given a questioncoincidentally lead to the correct answer.
Table 3: Results on multi-mention reading comprehension & discrete reasoning tasks. We report performanceon five datasets with different base models
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