Vishnu

> You need to fine tune on laptop aspect extraction data. Isn't the "post-trained Laptop weights" already fine-tuned weights of the model on laptop data?

Thanks for the info. While evaluating I am getting this error w.r.t to Main.Aspects ``` Exception in thread "main" java.lang.NoClassDefFoundError: javax/xml/bind/JAXBContext at gr.ilsp.nlp.semeval.absa.eval.ConsoleAspectsAndCategsExtractionEval.run(ConsoleAspectsAndCategsExtractionEval.java:74) at gr.ilsp.nlp.semeval.absa.eval.ConsoleAspectsAndCategsExtractionEval.main(ConsoleAspectsAndCategsExtractionEval.java:243) at Main.Aspects.main(Aspects.java:9) Caused by: java.lang.ClassNotFoundException:...

Thanks a lot for the quick reply. Resolved the problem. Can you explain what is "laptop_pred.xml" which according to the java command should be present along with "Laptops_Test_Gold.xml" and "Laptops_Test_Data_PhaseA.xml"...

> put model predictions into a XML file that jar can only read. Got it thanks a lot.

`PR` #6 solves the issues and is linked with it.

The installation works file using pip but fails using poetry since it appends poetry virtual env path and hence char limit exceeds