Chirs Burges,微软的机器学习大神,Yahoo 2010 Learning to Rank Challenge第一名得主,排序模型方面有RankNet,LambdaRank,LambdaMART,尤其以LambdaMART最为突出,代表论文为:From RankNet to LambdaRank to LambdaMART: An Overview此外,Burges还有很多有名的代表作,比如:A Tutorial on Support Vector Machines for Pattern R...
《Deep Learning for Answer Sentence Selection》 介绍: 深度学习用于问答系统答案句的选取 《Learning Semantic Representations Using Convolutional Neural Networks for Web Search 》 介绍: CNN用于WEB搜索,深度学习在文本计算中的应用 《Awesome Public Datasets》 介绍: Awesome系列中的公开数据集 《Search Engine & ...
《Deep Learning for Answer Sentence Selection》 介绍: 深度学习用于问答系统答案句的选取 《Learning Semantic Representations Using Convolutional Neural Networks for Web Search 》 介绍: CNN用于WEB搜索,深度学习在文本计算中的应用 《Awesome Public Datasets》 介绍: Awesome系列中的公开数据集 《Search Engine...
《Deep Learning for Answer Sentence Selection》 介绍: 深度学习用于问答系统答案句的选取 《Learning Semantic Representations Using Convolutional Neural Networks for Web Search 》 介绍: CNN用于WEB搜索,深度学习在文本计算中的应用 《Awesome Public Datasets》 介绍: Awesome系列中的公开数据集 《Search Engine & ...
《Deep Learning for Answer Sentence Selection》 介绍: 深度学习用于问答系统答案句的选取 《Learning Semantic Representations Using Convolutional Neural Networks for Web Search 》 介绍: CNN用于WEB搜索,深度学习在文本计算中的应用 《Awesome Public Datasets》 介绍: Awesome系列中的公开数据集 《Search Engine &...
《Deep Learning for Answer Sentence Selection》 介绍: 深度学习用于问答系统答案句的选取 《Learning Semantic Representations Using Convolutional Neural Networks for Web Search 》 介绍: CNN用于WEB搜索,深度学习在文本计算中的应用 《Awesome Public Datasets》 ...
Deep Learning for Answer Sentence Selection Answer sentence selection is the task of identifying sentences that contain the answer to a given question. This is an important problem in its own right a... Y Lei,KM Hermann,P Blunsom,... - 《Computer Ence》 被引量: 243发表: 2014年 Method an...
deep learning models would be better suited to this type of task because of their ability to capture higher-order syntax. Two papers, “Applying deep learning to answer selection: a study and an open task”(Feng et. al. 2015)and “LSTM-based deep learning models for non-factoid answer sel...
Transfer learningIn this paper, we propose Constrained Deep Neural Network (CDNN) a simple deep neural model for answer sentence selection. CDNN makes its predictions based on neural reasoning compound with some symbolic constraints. It integrates pattern matching technique into sentence vector learning....
Deep learning Based Text Classification:A comprehensive Reviw, Shervin Minaee etc. A c-lstm neural network for text classification, Chunting Zhou etc. A convolutional neural network for modelling sentences, Nal Kalchbrenner etc. A structured self-attentive sentence embedding, Zhouhan Lin etc. Adapt...