nltk.sem package¶
NLTK Semantic Interpretation Package
This package contains classes for representing semantic structure in formulas of first-order logic and for evaluating such formulas in set-theoretic models.
>>> from nltk.sem import logic
>>> logic._counter._value = 0
The package has two main components:
logic
provides support for analyzing expressions of First Order Logic (FOL).
evaluate
allows users to recursively determine truth in a model for formulas of FOL.
A model consists of a domain of discourse and a valuation function,
which assigns values to non-logical constants. We assume that entities
in the domain are represented as strings such as 'b1'
, 'g1'
,
etc. A Valuation
is initialized with a list of (symbol, value)
pairs, where values are entities, sets of entities or sets of tuples
of entities.
The domain of discourse can be inferred from the valuation, and model
is then created with domain and valuation as parameters.
>>> from nltk.sem import Valuation, Model
>>> v = [('adam', 'b1'), ('betty', 'g1'), ('fido', 'd1'),
... ('girl', set(['g1', 'g2'])), ('boy', set(['b1', 'b2'])),
... ('dog', set(['d1'])),
... ('love', set([('b1', 'g1'), ('b2', 'g2'), ('g1', 'b1'), ('g2', 'b1')]))]
>>> val = Valuation(v)
>>> dom = val.domain
>>> m = Model(dom, val)
Submodules¶
- nltk.sem.chat80 module
- nltk.sem.cooper_storage module
- nltk.sem.drt module
- nltk.sem.drt_glue_demo module
- nltk.sem.evaluate module
- nltk.sem.glue module
- nltk.sem.hole module
- nltk.sem.lfg module
- nltk.sem.linearlogic module
- nltk.sem.logic module
- nltk.sem.relextract module
- nltk.sem.skolemize module
- nltk.sem.util module