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Neural network graph-based dependency parser.
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liangkai/nngdparser
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# nngdparser ========================== -------------------------- 0.nngdparser The graph-based dependency parser with neural networks. The parser is written in c++, and use neural network methods for graph-based dependency parsing(with order1, order2-sibling, order2-grandchildren and order3-grandsibling). --------------------------- 1.How to compile Change to the top-layer directory of the project, and Run "make" or directly run "bash Compile.sh" for one-time compiling. The "nngdparser" is the runnable file for the parser. Compiling environments: this is the environment when we compile it, if you are intereted in compiling in other encironments, please figure out the library dependents. Platform: Linux os Compiler: g++, gcc Libraries: Boost C++ libraries, Blas libraries. for more informations of compiling and the libraries, please check out the makefile or the compile script. ---------------------------- 2.usage Please check out Usage.txt for the usage.
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