Skip to content

Latest commit

 

History

History
38 lines (28 loc) · 2.54 KB

README.md

File metadata and controls

38 lines (28 loc) · 2.54 KB
Raw

Semantic Role Labeling

Note: I create SRLTagger for performance testing with practNLPTools-lite

Authour

Semantic role labeling, sometimes also called shallow semantic parsing, is a task in natural language processing consisting of the detection of the semantic arguments associated with the predicate or verb of a sentence and their classification into their specific roles.

Define in Wikiperida

.

For faster and better performance pls switch to this location practNLPTools-lite or if you are beginner then follow this location practNLPTools

SRLTagger

Senna is a powerful tool for NLP. Sematic Role Labeling is process using NLP. This process is intergated with Python NLTK

Requirement

  1. NLTK 3.2.1
  • Senna

API

>>> s = SennaSRLTagger()
>>> col_len = len(s.tag('A general interface to the SENNA pipeline that supports any of the operations specified in SUPPORTED OPERATIONS'.split())[0])
>>> col_len
5
>>> #length of the column for a sentence is constant.
>>> s.tag("""A general interface to the SENNA pipeline that supports any of the operations specified in SUPPORTED OPERATIONS..""".split()) 
[(5, ['A', '-', 'O', 'O', 'B-A0']), (5, ['general', '-', 'O', 'O', 'I-A0']), (5, ['interface', '-', 'O', 'O', 'I-A0']), (5, ['to', '-', 'O', 'O', 'I-A0']), (5, ['the', '-', 'O', 'O', 'I-A0']), (5, ['SENNA', '-', 'O', 'O', 'I-A0']), (5, ['pipeline', '-', 'O', 'O', 'I-A0']), (5, ['that', '-', 'B-R-A0', 'O', 'I-A0']), (5, ['supports', 'supports', 'B-V', 'O', 'I-A0']), (5, ['any', '-', 'B-A1', 'B-A1', 'I-A0']), (5, ['of', '-', 'I-A1', 'I-A1', 'I-A0']), (5, ['the', '-', 'I-A1', 'I-A1', 'I-A0']), (5, ['operations', '-', 'I-A1', 'I-A1', 'I-A0']), (5, ['specified', 'specified', 'O', 'B-V', 'O']), (5, ['in', '-', 'O', 'B-AM-LOC', 'O']), (5, ['SUPPORTED', 'SUPPORTED', 'O', 'I-AM-LOC', 'B-V']), (5, ['OPERATIONS..', '-', 'O', 'I-AM-LOC', 'B-A1'])]

SennaSRLTagger.tag(token, no_list=False)

This method genetare the tagged SRL words on the attribute it has been passed. The sentence should be word tokenize.

  1. To geneate a yield object, no_list must be False and a default one.
  2. To generate a list, no_list must be True.

SennaSRLTagger.tag2file(tokens,file_name='testing_file.txt', file_mode='w')

Generate text file with given name and file mode for writing the file. If you are using multiple sentence the change the file_mode to 'a'.