Adaptive Document Retrieval for Deep Question Answering
EMNLP 2018 Adaptive Document Retrieval for Deep Question Answering 背景 閱讀理解模型的處理過程可以分爲兩步： 從文檔集中根據問題檢索可能包含答案的文檔 從檢索到的文檔中尋找包含答案的具體區域 現有的方法在以上的兩步各自都可以取得不錯的效果，但是很少有人思考針對於不同的數據集到底應該檢索多少文檔。如果按照某種經驗來做，往往會帶來不少
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相關文章
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