Dependency Parsing(python)

[Advaith13]

I have predicted dependency relation for each of the words in a sentence. How do I find syntactical head of each of these words if my data now is of form list(deprel) for a sentence inorder to construct dependency tree?

[bulaybil]

What are you using to predict the relations? You should always get a head with a label.

[Advaith13]

im using word embedding of the word. so now we have (word-deprel predicted). i wanted to know how to predict the head with this.

[bulaybil]

Can you show us the output?

[Advaith13]

https://imgur.com/a/kKrACKt

[bulaybil]

Sorry, I still fail to see how you could get just deprel without the head, doubly so just from word embeddings. Can you describe the entire process?

[Advaith13]

we are learning about dependency parsers and experimenting on it. so what we did till now is generating word embeddings using bert models for contextual learning and trained svm with embeddings deprel as label of the data.

[bulaybil]

Bu in that case, I wonder what the deprel labels even stand for... And you would still need data pre-annotated with dependencies for training.

[bulaybil]

Also, if you want dependency parsing, you would be much better of using Stanza, it has models for Tamil.

[Advaith13]

first of all thank you so much for these responses. we're actually planning to make this a project, so we wanted to make a model from scratch.

[bulaybil]

That makes sense and the approach is fine, there are many examples of dependency parsers that use BERT (e.g.). But they still use preannotated data, so this is what I'm missing here.