Using data from Reddy et al. (2011), we present a series of regression models of semantic transparency in compound nouns. The results indicate that the frequencies of the compound constituents, the semantic relation between the constituents, and metaphorical shift of a constituent or of the compound as a whole, all contribute to the overall perceived level of transparency. While not proposing a...

Phrasal verbs have some structural and semantic characteristics in common with morphologically complex words, even though they originate from phrasal constructions. Focusing on the role played by lexicalization and grammaticalization processes in the gradual shift from syntactic to morphological structures, this paper deals with semantic and morphotactic characteristics of Italian phrasal verbs...

Semantic Web is the vision for future of current Web which aims at automation, integration and reuse of data among different Web applications. The shift to Semantic Web applications poses new requirements for security mechanisms especially in the access control models as a critical component of security systems. Access to resources can not be controlled in a safe way unless the access decision ...

For most natural language processing tasks, a parser that maps sentences into a semantic representation is signi cantly more useful than a grammar or automata that simply recognizes syntactically wellformed strings. This paper reviews our work on using inductive logic programming methods to learn deterministic shift-reduce parsers that translate natural language into a semantic representation. ...

thesaurus is one, out of many, precious tool in information technology by which information specialists can optimize storage and retrieval of documents in scientific databases and on the web. in recent years, there has been a shift from thesaurus to ontology by downgrading thesaurus in favor of ontology. it is because thesaurus cannot meet the needs of information management because it cannot c...

Semantic segmentation is a fundamental and crucial task that of great importance to real-world satellite image-based applications. Yet widely acknowledged issue occurs when applying the semantic models unseen scenery model will perform much poorer than it was applied similar training data. This phenomenon usually termed as domain shift problem. To tackle it, this article presents self-training-...

The aim of this study is to determine the effect of word clustering method on vocabulary learning of Iranian EFL learners through a case of semantic versus phonological clustering. To this effect, 80 homogeneous students from four intermediate classes at an English institute in Torbat e Heydariyeh participated in this research. They were assigned to four groups according to semantic versus phon...

Atomic mass nouns share morphosyntactic properties with prototypical mass nouns. At the same time, the former semantically deviate from the latter. Based on re-examined empirical data, I propose that the semantics of atomic mass nouns is flexible. Particularly, a semantic shift occurs when the default interpretation of an atomic mass noun results in implausible interpretation or ungrammaticality.

In the main paper, we have proposed a new representation for image shape: a dictionary of shape epitomes, which explicitly include hidden variables to encode shift and rotation. We have also applied this representation for semantic image labeling. In this supplementary material, we further show the versatility of shape epitomes by employing them for edge detection and local appearance modeling.