Coarse-to-Fine Question Answering for Long Documents
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Cites background from "Coarse-to-Fine Question Answering f..."
...In question answering (QA), Choi et al. (2017) extract one sentence and then generate the answer from the sentence’s vector representation with RL bridging....
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267 citations
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Cites background or methods from "Coarse-to-Fine Question Answering f..."
...In comparison, Choi et al. 2017 has as its main aim to speed up the RC model in the single passage setting....
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...Cheng and Lapata 2016 and Choi et al. 2017 proposed coarse-to-fine frameworks with an additional sentence selection step before the original wordlevel prediction for text summarization and reading comprehension, respectively....
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...From the method-perspective, our work is most close to Choi et al. 2017’s work in terms of the usage of REINFORCE....
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References
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"Coarse-to-Fine Question Answering f..." refers methods in this paper
...We use the Adam (Kingma and Ba, 2015) optimizer and TensorFlow framework (Abadi et al....
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"Coarse-to-Fine Question Answering f..." refers methods in this paper
...Soft Attention In the soft attention model (Bahdanau et al., 2015) we compute a weighted average of the tokens in the sentences according to p(s | x, d)....
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"Coarse-to-Fine Question Answering f..." refers methods in this paper
...Following previous work (Kim, 2014; Kalchbrenner et al., 2014), we concatenate the embeddings of tokens in the query x and the...
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