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  • 120
    Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information

    文章首發(fā)于zhkun的小窩 Title: Semantic Sentence Matching with Densely-connected Recurrent and Co...

  • 120
    What Value Do Explicit High Level Concepts Have in Vision to Language Problems

    文章首發(fā)于zhkun的小窩 Title: What Value Do Explicit High Level Concepts Have in Vision to Langu...

  • 120
    Neural Architectures for Fine-grained Entity Type Classification

    文章首發(fā)于zhkun的小窩 Title: Neural Architectures for Fine-grained Entity Type ClassificationAu...

  • 120
    Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Si...

    文章首發(fā)于zhkun的小窩 這篇文章主要是集中在對(duì)詞的多方面語(yǔ)義表示渐行,在此基礎(chǔ)上實(shí)現(xiàn)對(duì)句子語(yǔ)義的準(zhǔn)確理解,并在多個(gè)句子語(yǔ)義理解相關(guān)任務(wù)上取得了不錯(cuò)的表現(xiàn)偏螺。 Different...

  • 120
    Improving Neural Fine-Grained Entity Typing with Knowledge Attention

    文章首發(fā)于zhkun的小窩 Title: Improving Neural Fine-Grained Entity Typing with Knowledge Attenti...

  • 120
    Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Languag...

    文章首發(fā)于zhkun的小窩 介紹 這篇文章是COLING 2018的beat reproduction paper,文章主要對(duì)現(xiàn)有的做句子對(duì)任務(wù)的最好的幾個(gè)模型進(jìn)行了重現(xiàn),并...

  • [LintCode] 鏈表求和(簡(jiǎn)單)

    兩個(gè)用鏈表代表的整數(shù),其中每個(gè)節(jié)點(diǎn)包含一個(gè)數(shù)字厕吉。數(shù)字存儲(chǔ)按照在原來(lái)整數(shù)中相反的順序酱固,使得第一個(gè)數(shù)字位于鏈表的開(kāi)頭械念。寫出一個(gè)函數(shù)將兩個(gè)整數(shù)相加,用鏈表形式返回和运悲。樣例: 解決方...

  • [LintCode] Range Addition

    給定一個(gè)全為0的array的長(zhǎng)度龄减,以及一系列操作,每個(gè)操作會(huì)指明要操作的開(kāi)始索引和結(jié)束索引班眯,以及要加上的值希停,求出所給操作執(zhí)行完之后的array情況,具體樣例如下: 一些提示:...

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