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原创 Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networkssummary提出sequence to sequence的思想,使得翻译和被翻译的句子长度不限定文章认为一个很有效的trick:将输入的句子单词逆序。对于<a,b,c><alpha,beta,gamma>的翻译对,将输入变换成<c,b,a><alpha,beta,gamma>对,a和alpha的距离更近,对于SGD更好的去建立连接。使得长句子的训练效果
2021-07-31 15:44:19 249
原创 Event representations with tensor-based compositions笔记
TitleEvent representations with tensor-based compositions (AAAI 2018)Summary提出一种基于张量(tensor)的方法来进行事件表示,可以捕捉event和实体间更subtle(精妙)的关系,在event-level和scenario-level的语义都有好的效果。并且做了广泛实验(i) a sentence similarity task, (ii) a new hard similarity task, and (iii) an
2021-06-18 15:26:25 392
原创 Knowledge-Driven Event Embedding for Stock Prediction笔记
TitleKnowledge-driven event embedding for stock prediction (COLING 2016)Summary沿用NTN(Neural tensor network)利用knowledge graph来构建event embeddig 和knowledge embedding,并联合训练。训练好的embedding用于stock prediction,并且在case study中人为评价event similarity。Research Objecti
2021-06-17 18:04:59 444
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