nlp-s17

Question Answering

mostCommonNNP

Gives the most common proper nouns in the given text

Specify the text and the number of most common proper nouns desired

Example:

python3 mostCommonNNP.py set1/a1.txt 20

txt_ner.py

Specific to the txt files in the data set

Example:

import txt_ner

# Create an instance of the desired txt file
txt = txt_ner.NER("set1/a1.txt")

# Prints the ith sentence as it is
txt.printSentence(i)

# Prints the ith sentence along with its part-of-speech tags and named entities
txt.printTag(i)  

# Draws the corresponding tree of the tagged sentence
txt.drawTree(i)  

ner.py

Tags and chunks generic sentence

Specifiy the sentence as a string

Example:

import ner

# Create an instance of the sample sentence
sentence = ner.NER("Abraham Lincoln was born in Hodgenville Kentucky.")

# Prints the sentence along with its part-of-speech tags and named entities
sentence.printTag()  

# Draws the corresponding tree of the tagged sentence
sentence.drawTree()