Semantic parsing as an energy minimization problem

Language understanding is not just a matter of knowing the language, but to a considerable degree of logical inference with the world knowledge. Pure linguistic approach cannot interpret any natural language utterances. They can only constrain their interpretation and the rest must leave to semantic parsing. To discriminate senses in any semantic parsing, a reader should consider a diversity of information, including syntactic tags and restriction, word frequencies collocations, semantic context and role-related expectations. However, current approaches make use of only small subsets of this information. In this paper, we show how semantic parsing can be formulated as a sequence of processes in which multiple sources of knowledge are incorporated. A resolution-based inference procedure will be shown to determine semantic meanings from the analyzed utterances. They are on the basis that language technology has to employ cost-efficient solutions with respect to the phenomena occurring in the real world language understanding.