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Sshanu / Relation-Classification-using-Bidirectional-LSTM-Tree

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
MIT License
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NLTK with corenlp #5

Closed LokiMask closed 6 years ago

LokiMask commented 6 years ago

hello when i use the path_extractor method in your code ,I catch a error with NLTK which says "NLTK was unable to find stanford-parser-(\d+)(.(\d+))+-models.jar!".However I set the corenlp jar to classpath before use it. The configuration of my environment is python 3.6, nltk 2.4 corenlp 3.8. I think there may be a mistake when i configure my environment, but i do not fix it. i hope you could give me some advise

Sshanu commented 6 years ago

Yeah, I got the same error after setting the path for the jar in my environment. So I set the path of the jar in path_to_jar.

from nltk.tokenize.stanford import StanfordTokenizer
path_to_jar = "/home/shanu/nltk/jars/stanford-postagger.jar"
tokenizer = StanfordTokenizer(path_to_jar)
LokiMask commented 6 years ago

thanks a lot