Update README.md (5376445a) · Commits · pirapakaran / Softwareproject_ws2020_21

README.md

+17 −9

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		@@ -53,9 +53,8 @@ To work, we use the steps provided by Debjit Paul from Ranking and Selecting Mul

		### Step 1: Construct ConceptNet into a graph
		Prerequisite for this step is the previous download of the concept-net-assertions-5.6.0.csz.gz.
		> Inputfile: path to .txtfile of train and testdata
		> Graphpath: Path to constructed Concepts concept_graph_full <br>
		> Outputpath: Path to (empty) File, purpose written behind as _[purpose]
		> Inputfile: path to unziped conceptnet-assertions-5.6.0.csv
		>
		> Purpose: --dev \| --train \| --test
		>
		> Output is the file concept_graph_full
		@@ -67,8 +66,15 @@ python src/graph_model/conceptnet2graph.py /"path_to_unziped_conceptnet-assertio
		### Step 2: Construct subgraph per sentence for for train- test files

		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
		> Input:
		>> Inputfile: Path to train or test data <br>
		>> Graphpath path to ConceptNet Graph
		>
		> Output:
		>> Outputpath: path to folder where output will be saved <br>
		>> Output: directory with files for each sentence containing subgraphs
		>
		> Purpose: --dev \| --train \| --test

		```python
		python src/graph_model/make_sub_graph_server.py "inputfile" "graphpath" "outputpath" "--purpose" purpose
		@@ -83,11 +89,13 @@ Seperate sentences with newlines.


		### Step 3: Extracting relevant knowledge paths from subgraphs
		> Inputpath: path to inputfile from step 2 <br>
		> Outputpath: path to txt.file where extracted knowledgepaths can be saved <br>
		> Input
		>> Inputpath: path to inputfile from step 2 <br>
		>> Input: subgraphs and inputfile from output of step 2 <br>
		>
		> Input: subgraphs and inputfile from output of step 2<br>
		> Output: .txtfile with knowledgepaths for each sentence
		> Output
		>> Outputpath: path to txt.file where extracted knowledgepaths can be saved <br>
		>> Output: .txtfile with knowledgepaths for each sentence

		```python
		python src/graph_model/extract_path3.py