Finding semantic similarity between two natural language entities considered a challenging task in the field of natural language processing. Accuracy of presently existing semantic similarity computational methods is still very far from what humans would perceive. In this paper, we present a new approach of measuring semantic similarity/distance between concepts/words by considering all senses ...

A controversy has existed over the interaction of syntax and semantics in natural language understanding systems. According to theories of integrated parsing, syntactic and semantic processing should take place simultaneously, with the parsing process driven by a single rule base which contains both syntactic and semantic knowledge. This is in sharp contrast to traditional linguistic approaches...

1 Overview Elf is a uniform metalanguage for the formalization of the theory of programming languages and logics. It provides means for 1. specifying the abstract syntax and semantics of an object language in a natural and direct way; 2. implementing related algorithms (e.g., for type inference, evaluation, or proof search); and 3. representing proofs of meta-theorems about an object language, ...

This paper describes a rule based semantic parsing approach for Kashmiri language(multilingual language) .A rule based semantic parser relies on the WORDNET and FRAMENET available for the language. Semantic parsing involves mapping of natural language (NL) sentence into a complete formal meaning representation (MR) in a meaning representation language. Semantic parsing increases the level of un...

The performance of some natural language processing tasks improves if semantic processing is involved. Moreover, some tasks ( database query) cannot be carried out at all without semantic processing. The first semantic description was developed by Montague and all later approach to semantic in the frame of discourse representation theory follow Montague in using more powerful logic language. Th...

Semantic relation extraction aims to extract relation instances from natural language texts. In this paper, we propose a semantic relation extraction approach based on simple relation templates that determine relation types and their arguments. We attempt to reduce semantic drift of the arguments by using named entity models as semantic constraints. Experimental results indicate that our approa...

The processing of semantic information requires the adequate knowledge representation and ability to interpret semantically related knowledge. The majority of present day approaches to knowledge representation and processing are based on symbolic approach, i.e. on describing the meaning of represented domain knowledge and procedural knowledge used to process this domain knowledge. Hierarchical ...

Semantic analysis refers to the analysis of semantic representations by inference on the basis of semantic information and world knowledge. I present some potential applications of model generators and model generation theorem provers in the construction and analysis of natural-language semantics where both the process of model generation and the computed models are valuable sources of informat...