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https://github.com/smartdataanalytics/qacomponents-analysis


https://github.com/smartdataanalytics/qacomponents-analysis

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README

        

# QAComponents-analysis
This is the Github repository for the submitted JWS paper "No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph".
Following are the folders in the repository for various experiments in the paper: The original Frankenstein repository: [Frankenstein Framework](https://github.com/WDAqua/Frankenstein).
In Frankenstein repository, you will be pointed to the Qanary components, which are part of this analysis paper. You can directly find the components in [Qanary Components](https://github.com/WDAqua/Qanary-question-answering-components). All the components are recently updated to ensure reproducibility.
One can educate them in detail about Qanary methodology and its usage on: [Qanary Methodology](https://github.com/WDAqua/Qanary). It also includes how to add a new component and run a pipeline.

For non-expert users, a majority of components are available to access via a web UI: [Frankenstein Web UI](http://frankenstein.qanary-qa.com/).

The *RawData* folder contains all raw data produced in our experiments that have been used in the analysis. In particular, the raw data is organized in the following folders:

- *Component Performance*: This folder contains all the files of the different question Answering Tasks (QA Tasks). F-score for each question per component
is given in the files.

- *Component Performance Aggregated*: This folder sums up the f-score values of the component per question feature for various QA tasks.

- *Top Count*: This folder contains values of the number of questions answered by Top 1, top 2...top n components together for each task.

- *Unanswered*: This folder contains all the unanswered questions, and the associated question features.

Finally, the folder *Rplots* contains the R scripts used to generate the plots of the paper, as well as the generated plots in pdf format.