Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, data-driven dependency parser has been developed with the help of phrase-structure parser fo...

Web Service mining has become one of the predominant areas of Service Oriented Architecture. Web service discovery methods include syntactic based system and semantic based system. In the proposed work, both syntactic and semantic based approach is followed. The most widely used recommender technique is collaborative filtering. In this paper, we proposed architecture for Web Service Selection b...

This paper presents a classification of semantic roles using syntactic, semantic and contextual features. The aim of our work is to identify types of semantic roles involving events and their actors; therefore, we fulfill a feature analysis in order to select the best feature subset which improves the fulfillment of the task. In addition, we compare four classification algorithms: Support Vecto...

Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval. However, two crucial issues are not well addressed in state-of-art annotation algorithms: 1. The Small Sample Size (3S) problem in keyword classifier/model learning; 2. Most of annotation algorithms can not extend to real-time online usage due to their low computational efficienc...

A proper semantic representation of words and texts underlies many text processing tasks. In this paper, we present a novel representation of semantics which is based on an hierarchical ontology of natural concepts derived from Wikipedia articles and category system. Our method, called Compact Hierarchical Explicit Semantic Analysis (CHESA) generates compact hierarchical representations of unre...

In this paper, we propose a novel and effective image descriptor— Image Latent Semantic Analysis (ILSA) for extracting latent semantic features of face image. The features are obtained from a feature-image matrix, which obtains a wealth of information than the conventional image semantic and has a stronger expression and classification than the low-level features. The unique feature extraction ...

this study investigated the effect of using visual aids, semantic elaboration, and visual aids plus semantic elaboration on the iranian efl learners' vocabulary learning. to conduct the study, the researchers assigned 49 elementary learners to three homogeneous groups according to their proficiency level. then, a pre-test of paribakht and wesche's vocabulary knowledge scale was given ...

This paper describes our system for syntactic and semantic dependency parsing to participate the shared task of CoNLL2008. We use a pipeline approach, in which syntactic dependency parsing, word sense disambiguation, and semantic role labeling are performed separately: Syntactic dependency parsing is performed by a tournament model with a support vector machine; word sense disambiguation is per...