Information integrating in Semantic Concept Networks (SCN) is one of the important operations in these networks. These operations require resource usage. Due to the limited resource of units, the resource productivity should be considered as a key objective in design of Semantic Concept Networks. Therefore the Integrating is a suitable method that used in resource usage management. For this pur...

The aim of this paper is to introduce a modelling concept and structuring principle for rule-based systems the semantics of which is not restricted to a sequential behavior, but can be applied to various types of parallelism and concurrency. The central syntactic notion is that of a transformation unit that encapsulates a set of rules, imports other transformation units, and regulates the use a...

This article presents the semantic layer of Walenty—a new valence dictionary of Polish predicates, with a number of novel features, as compared to other such dictionaries. The dictionary contains two layers, syntactic and semantic. The syntactic layer describes syntactic and morphosyntactic constraints predicates put on their dependants. In particular, it includes a comprehensive and powerful p...

This paper presents a semi-automatic method for identifying terms that evoke semantic frames (Fillmore, 1982). The method is tested as a means of identifying lexical units that can be added to existing frames or to new, related frames, using a large corpus on the environment. It is hypothesized that a method based on distributional semantics, which exploits the assumption that words that appear...

Recently, we developed USP, the first approach for unsupervised semantic parsing [11]. We applied it to extracting a knowledge base from biomedical abstracts for question answering and found that it substantially outperforms state-of-the-art systems such as TextRunner and DIRT. In this paper, we show that USP can be viewed as learning a deep network for semantic parsing. The hidden units in the...

In most natural language processing systems there is no representation of the semantic knowledge of lexical units, but just subcategorization frames, selection restrictions and links to other paradigmatically-related lexical units. Some NLP systems, e.g. machine translation or dialogue-based systems, attempt to “understand” the input text by translating it into some kind of formal language-inde...

This paper proposes using a Component Approach to model navigation in a hypertext application. It proposes Navigational Semantic Units (NSUs), which are component-oriented units that describe some meaning of navigation from the user’s perspective. The NSUs are an abstraction of a navigational model and are the basis for a methodology to design hypermedia applications based on the Model View Con...

Morphological units carry vast amount of semantic information for languages with rich inflectional and derivational morphology. In this paper we show how morphosemantic information available for morphologically rich languages can be used to reduce manual effort in creating semantic resources like PropBank and VerbNet; to increase performance of word sense disambiguation, semantic role labeling ...

Word segments are relevant cues for the automatic acquisition of semantic relationships from morphologically related words. Indeed, morphemes are the smallest meaning-bearing units. We present an unsupervised method for the segmentation of words into sub-units devised for this objective. The system relies on segment predictability to discover a set of prefixes and suffixes and performs word seg...

This paper addresses the question of how to account for verbal polysemy from a contrastive point of view. By examining the syntactic and semantic distribution of arguments of a selected number of English and German motion verbs, I intend to demonstrate the usefulness of Fillmore’s (1982) Frame Semantics for describing verbal argument realization patterns across languages. In this connection it ...