Faculty of Science and Information Technology > Natural Language Processing

Relation Extraction

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Nazia Nishat:
Many NLP applications require understanding relations between word senses: synonymy, antonymy,hyponymy, meronymy. WordNet is machine-readable database of relations between word senses, and an indispensable resource in many NLP tasks.
But WordNet is manually constructed, and has many gaps!
In WordNet 3.1
insulin
progesterone
Not in WordNet 3.1
leptin
pregnenolone

Relation extraction: 5 easy methods
1. Hand-built patterns
2. Bootstrapping methods
3. Supervised methods
4. Distant supervision
5. Unsupervised methods


Source:https://web.stanford.edu/class/cs224u/materials/cs224u-2016-relation-extraction.pdf
Wordnet:http://wordnetweb.princeton.edu/perl/webwn

iftekhar.swe:
thanks for sharing

s.arman:
Thanks for sharing

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