Loading README.md +9 −7 Original line number Diff line number Diff line Loading @@ -24,6 +24,7 @@ What things you need to install and how to install them ``` ### Installing Use the package manager [pip](https://pip.pypa.io/en/stable/) to install ``` - pip install tensorflow Loading Loading @@ -59,8 +60,8 @@ Prerequisite for this step is the previous download of the concept-net-assertion > Purpose: --dev | --train | --test > > Output is the file concept_graph_full ``` python src/graph_model/conceptnet2graph.py /path_to_unziped_conceptnet-assertions-5.6.0.csv_File ```python python src/graph_model/conceptnet2graph.py /"path_to_unziped_conceptnet-assertions-5.6.0.csv_File" ``` Loading @@ -70,11 +71,12 @@ In this step we construct the subgraph for each sentence. <br> > Input: ConceptNet Graph, Data for train/test <br> > Output: directory with files for each sentence containing subgraphs ```python python src/graph_model/make_sub_graph_server.py "inputfile" "graphpath" "outputpath" "--purpose" purpose ``` python src/graph_model/make_sub_graph_server.py "inputfile" "graphpath" "outputpath" "--purpose" purpose <br> e.g. python src/graph_model/make_sub_graph_server.py .\training_neu.txt .\concept_graph_full .\output --purpose train ``` Inputformat: e.g. python src/graph_model/make_sub_graph_server.py .\training_neu.txt .\concept_graph_full .\output --purpose train <br> *Inputformat:* ~~~~ "unique_ID" + "\t" + "HumanNeed | None" + "\t" + "sentence" + "\t" + "concepts" ~~~~ Loading @@ -88,7 +90,7 @@ Seperate sentences with newlines. > Input: subgraphs and inputfile from output of step 2<br> > Output: .txtfile with knowledgepaths for each sentence ``` ```python python src/graph_model/extract_path3.py ``` Loading Loading
README.md +9 −7 Original line number Diff line number Diff line Loading @@ -24,6 +24,7 @@ What things you need to install and how to install them ``` ### Installing Use the package manager [pip](https://pip.pypa.io/en/stable/) to install ``` - pip install tensorflow Loading Loading @@ -59,8 +60,8 @@ Prerequisite for this step is the previous download of the concept-net-assertion > Purpose: --dev | --train | --test > > Output is the file concept_graph_full ``` python src/graph_model/conceptnet2graph.py /path_to_unziped_conceptnet-assertions-5.6.0.csv_File ```python python src/graph_model/conceptnet2graph.py /"path_to_unziped_conceptnet-assertions-5.6.0.csv_File" ``` Loading @@ -70,11 +71,12 @@ In this step we construct the subgraph for each sentence. <br> > Input: ConceptNet Graph, Data for train/test <br> > Output: directory with files for each sentence containing subgraphs ```python python src/graph_model/make_sub_graph_server.py "inputfile" "graphpath" "outputpath" "--purpose" purpose ``` python src/graph_model/make_sub_graph_server.py "inputfile" "graphpath" "outputpath" "--purpose" purpose <br> e.g. python src/graph_model/make_sub_graph_server.py .\training_neu.txt .\concept_graph_full .\output --purpose train ``` Inputformat: e.g. python src/graph_model/make_sub_graph_server.py .\training_neu.txt .\concept_graph_full .\output --purpose train <br> *Inputformat:* ~~~~ "unique_ID" + "\t" + "HumanNeed | None" + "\t" + "sentence" + "\t" + "concepts" ~~~~ Loading @@ -88,7 +90,7 @@ Seperate sentences with newlines. > Input: subgraphs and inputfile from output of step 2<br> > Output: .txtfile with knowledgepaths for each sentence ``` ```python python src/graph_model/extract_path3.py ``` Loading