Relationship Extraction from Unstructured Text Based on Stanford NLP with Spark

[@alimahmoudmansour9681]

Thank you for this video what about spacy instead of stanford? did you try it?

[@abdelkadertahraoui2325]

exellent representation.I want to work on event extraction and I have not found a model for my project in the end of my study thank you

[@junnublossoms4309]

Very clear on the problem statement. Could you explain how can we train custom NER model using corenlp without spark .

[@sheikhakbar2067]

Definitely I will watch this video later!

[@ibrahimrahhal7629]

Excellent presentation. I want to use corenlp and especially Named entity Recognition to extract entities from french text.

[@samiasbissi5818]

exellent representation.please i need to extract semantic rules (SWRL) from text. how can i do it

[@justsurvivingforbutterchic9339]

Is there a code available for this ??

[@siddharthkotwal8823]

Great presentation. You mention StanfordNLP is sensitive to input sentences. What framework do you use for sentence simplification or summarization?

[@yanaponomarova5653]

For sentence simplification, I have used the approach described here resources.mpi-inf.mpg.de/d5/clausie/clausie-www13.pdf . Given that the paper is 5 years old, I had to update it for the newest version of Stanford NLP, of course, since the output of the dependency tree parser has changed. Regarding text summarization, it is a different subject that has not been addressed here, but there is a lot of research done on the topic.

[@IsmailKhanKundi]

@yana how can I contact you through email?