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cs.CL2016
Dependency Parsing as Head Selection
Xingxing Zhang, Jianpeng Cheng, Mirella Lapata
Conventional graph-based dependency parsers guarantee a tree structure both during training and inference. Instead, we formalize dependency parsing as the problem of independently…
cs.CL2016
Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng, Mirella Lapata
Traditional approaches to extractive summarization rely heavily on human-engineered features. In this work we propose a data-driven approach based on neural networks and continuous…