Temporal relation classification is a challenging task, especially when there are no explicit markers to characterise the relation between temporal entities. This occurs frequently in intersentential relations, whose entities are not connected via direct syntactic relations making classification even more difficult. In these cases, resorting to features that focus on the semantic content of the...

With the huge increase of software functionalities, sizes and application domain, the difficulty of categorizing and classifying software for information retrieval and maintenance purposes is on demand. This work includes the use of Latent Semantic Indexing (LSI) in classifying neural network and knearest neighborhood source code programs. Functional descriptors of each program are identified b...

While most of researches focus on resolving the syntactic consistency problem in real-time collaborative graphics designing system, the semantic preservation problem should not be neglected. Graphics are created with user’s meanings. These meanings should be notified to other users and should not be arbitrarily modified by others. In this paper, we resolve the semantic preservation problem by f...

We propose a new method for organizing the numerous collocates into semantic thesaurus categories. The approach introduces a thesaurus-based semantic classification model automatically learning semantic relations for classifying adjective-noun (A-N) and verb-noun (V-N) collocations into different categories. Our model uses a random walk over weighted graph derived from WordNet semantic relation...

This paper describes a semantic search tool based on our experience in using a new lexical domain ontology for aerospace integrated with an open source general purpose ontology to support aerospace engineers in the timely semantic retrieval of the knowledge. The semantic search module represents an integrated tool dedicated to the semantic search, extraction and classification of information an...

In this paper we describe a framework for classifying and annotating Egyptian Arabic Multiword Expressions (EMWE) in a specialized computational lexical resource. The framework intends to encompass comprehensive linguistic information for each MWE including: a. phonological and orthographic information; b. POS tags; c. structural information for the phrase structure of the expression; d. lexico...

Conventional Occupancy Grid (OG) map which contains occupied and unoccupied cells can be enhanced by incorporating semantic labels of places to build semantic grid map. Map with semantic information is more understandable to humans and hence can be used for efficient communication, leading to effective human robot interactions. This paper proposes a new approach that enables a robot to explore ...

The limited coverage of lexical-semantic resources is a significant problem for NLP systems which can be alleviated by automatically classifying the unknown words. Supersense tagging assigns unknown nouns one of 26 broad semantic categories used by lexicographers to organise their manual insertion into WORDNET. Ciaramita and Johnson (2003) present a tagger which uses synonym set glosses as anno...