In this paper, we present an approach for the retrieval of natural scenes based on a semantic modeling step. Semantic modeling stands for the classification of local image regions into semantic classes such as grass, rocks or foliage and the subsequent summary of this information in so-called conceptoccurrence vectors. Using this semantic representation, images from the scene categories coasts,...

In this paper we introduce a novel semantic parsing approach to query Freebase in natural language without requiring manual annotations or question-answer pairs. Our key insight is to represent natural language via semantic graphs whose topology shares many commonalities with Freebase. Given this representation, we conceptualize semantic parsing as a graph matching problem. Our model converts s...

The development of information retrieval and extraction systems is still a challenging task. The occurrence of natural language limits the application of existing approaches. Therefore the approach of a new framework which combines natural language processing and semantic web technology is discussed. This paper focuses on ontology based knowledge modelling for semantic data extraction. Therefor...

The present paper provides a review of the most discussed issues with regard to creating universal formal approach study politeness theory. What we see now is lack proper metalanguage, and proliferation various theoretical approaches: presentday terminology describing polite behavior represented by variety concepts: ‘appropriateness’, ‘saving face’, ‘face constituting’, ‘rapport management’ etc...

This paper uses classical logic for a simultaneous description of the syntax and semantics of a fragment of English and it is argued that such an approach to natural language allows procedural aspects of linguistic theory to get a purely declarative formulation. In particular, it will be shown how certain construction rules in Discourse Representation Theory, such as the rule that indefinites c...

Semantic information is often represented as the entities and the relationships among them with conventional semantic models. This approach is straightforward but is not suitable for many posteriori requests in semantic data modeling. In this paper, we propose a meaningoriented approach to modeling semantic data and establish a graph-based semantic data model. In this approach we use the meanin...

This paper offers a metalanguage to describe the nature of choosing the syntactic position of a causee in causative constructions, focusing on transitive constructions in nominative-accusative languages, with some comments on ergative languages. The generalization of Comrie's hypothesis about the causee's position is also given in terms of this metalanguage. Several statements pretending to be ...

We present a new approach to learning a semantic parser (a system that maps natural language sentences into logical form). Unlike previous methods, it exploits an existing syntactic parser to produce disambiguated parse trees that drive the compositional semantic interpretation. The resulting system produces improved results on standard corpora on natural language interfaces for database queryi...

Combinatory Category Grammar (CCG) supertagging is a task to assign lexical categories to each word in a sentence. Almost all previous methods use fixed context window sizes to encode input tokens. However, it is obvious that different tags usually rely on different context window sizes. This motivates us to build a supertagger with a dynamic window approach, which can be treated as an attentio...