In what follows, we will consider versions of this argument that attempt to establish the existence of mathematical objects (e.g., numbers), propositions, properties, relations, sentence types, possible worlds, logical objects, and fictional objects.
TextRunner is extraction pattern-based, but rather than employing patterns tuned to a few selected relations, it uses a range of patterns obtained automatically from a syntactically parsed training corpus, weighted via Bayesian machine learning methods to extract miscellaneous relations sentence-by-sentence from text.
Through this teaching, the learners understood the following things: (1) a problem was composed of two existence sentences and one relational sentence; (2) a sentence represented a story type and a relation among sentences, and there was a required sentence order based on the specific story type; and (3) a numerical formula was needed to represent the story type and find the answer.
According to Mintz et al. [70], if two entities participate in a relation, any sentence that contains these entities also expresses this particular relation.
The relations between sentence structure and structural meanings are also largely arbitrary and tacitly conventional.
After all, if deflationists are attending only to propositions, they are evidently not attending to the relation between sentences and propositions.
In contemporary parlance, typically, "logical independence" is used solely to speak of a relation between sentences, propositions, or perhaps facts or states of affairs.
Consequently, the combining function should be able to model the relation between sentences depending on the number of non-neutral words and the value of the sentiment they contain.
Thus, our work focused on relations at sentence level.
T hus, our work focused on relations at sentence level.
