In this paper, we study such a specific product of enigmatic discourse as crossword puzzle. The powerful potential text is manifested in its ability to accumulate and translate cultural meanings values, which explains the recent appearance large number works on linguistic, cultural, structural-semantic cognitive-discursive features language. ontological nature crossword, undertaken research, gr...

a review of findings shows that persian gardens have attracted a wide area of interests between psychologists and environment designers. the main reasons behind the attraction of persian gardens are natural content and particular landscape configuration. to study these features, overall organization examination is employed according to psychological pattern. one of the impressive psychological ...

To promote global knowledge sharing, one should solve the problem that knowledge representation in diverse natural languages restricts knowledge sharing effectively. Traditional knowledge sharing models are based on natural language processing (NLP) technologies. The ambiguity of natural language is a problem for NLP; however, semantic web technologies can circumvent the problem by enabling hum...

We propose an approach to natural language inference based on a model of natural logic, which identifies valid inferences by their lexical and syntactic features, without full semantic interpretation. We greatly extend past work in natural logic, which has focused solely on semantic containment and monotonicity, to incorporate both semantic exclusion and implicativity. Our system decomposes an ...

We describe a joint model for understanding user actions in natural language utterances. Our multi-layer generative approach uses both labeled and unlabeled utterances to jointly learn aspects regarding utterance’s target domain (e.g. movies), intention (e.g., finding a movie) along with other semantic units (e.g., movie name). We inject information extracted from unstructured web search query ...

Semantic role labeling (SRL) and word sense disambiguation (WSD) are two fundamental tasks in natural language processing to find a sentence-level semantic representation. To date, they have mostly been modeled in isolation. However, this approach neglects logical constraints between them. We therefore exploit some pipeline systems which verify the automatic all word sense disambiguation could ...

It is commonly agreed ihat natural language systems fox" semantically rich domains require a level of sema~tic representation in order to provide for a sufficiently deep processing of the natural language input. The level of semantic representation is sometimes called a representation of linguistic knowledge. In addition, a natural language help system also requires a lo~owledge base of the app...

To promote global knowledge sharing, one should solve the problem that knowledge representation in diverse natural languages restricts knowledge sharing effectively. Traditional knowledge sharing models are based on natural language processing (NLP) technologies. The ambiguity of natural language is a problem for NLP; however, semantic web technologies can circumvent the problem by enabling hum...

Semantic modeling usuing theta-roles: a natural language processing-based approach to conceptual representation"