We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus mean...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
This paper reports on Korean Word Associations (KorWA) which were collected to construct a semantic network for Korean language. An approach of graph representation and network an...
— Zadeh proposed the paradigm of computing with words (CWW). We have proposed a CWW architecture for making subjective judgments, called a Perceptual Computer (PerC). Because wor...
Abstract. This paper is concerned with the question of quantifying gradient degrees of acceptability by introducing the notion of Density in the context of constructional constrain...