Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Commonsense for Generative Multi-Hop Question Answering Tasks   Reading comprehension QA tasks have seen a recent surge in popularity, yet
most works have focused on fact-finding extractive QA. We instead focus on a
more challenging multi-hop generative task (NarrativeQA), which requires the
model to reason, gather, and synthesize disjoint pieces of information within
the context to generate an answer. This type of multi-step reasoning also often
requires understanding implicit relations, which humans resolve via external,
background commonsense knowledge. We first present a strong generative baseline
that uses a multi-attention mechanism to perform multiple hops of reasoning and
a pointer-generator decoder to synthesize the answer. This model performs
substantially better than previous generative models, and is competitive with
current state-of-the-art span prediction models. We next introduce a novel
system for selecting grounded multi-hop relational commonsense information from
ConceptNet via a pointwise mutual information and term-frequency based scoring
function. Finally, we effectively use this extracted commonsense information to
fill in gaps of reasoning between context hops, using a selectively-gated
attention mechanism. This boosts the model's performance significantly (also
verified via human evaluation), establishing a new state-of-the-art for the
task. We also show promising initial results of the generalizability of our
background knowledge enhancements by demonstrating some improvement on
QAngaroo-WikiHop, another multi-hop reasoning dataset.

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The categories of this paper are: math
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The categories of this paper are: econ
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The categories of this paper are: chem-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: comp-gas
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-ex
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The categories of this paper are: atom-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: quant-ph
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The categories of this paper are: adap-org
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The categories of this paper are: plasm-ph
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The categories of this paper are: physics
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The categories of this paper are: math-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: acc-phys